Drop your suggestions for new tests here 👇

@jeffwads

23 күн бұрын

The answer to this math problem is none. Let S = {2, 8, 6, 32, 22, 44, 28, 12, 18, 10, 14}. How many subsets does S have that sum up to 37?

@jeffwads

23 күн бұрын

Mistral 7b gets this correct while many larger models (including GPT-4) get it wrong. The answer is left. Suppose I’m in the middle of South Dakota and I’m looking straight down towards the center of Texas. Is Boston to my left or to my right?

@jeffwads

23 күн бұрын

This puzzle is only solved by GPT-4 so far. The answer is Aunt Agatha did it. You are given the following premises: 1. Someone who lives in Dreadbury Mansion killed Aunt Agatha. 2. The only people who live in Dreadbury Mansion are Aunt Agatha, the butler, and Charles. 3. A killer always hates his victims and is never richer than his victims. 4. Charles hates no one that Aunt Agatha hates. 5. Aunt Agatha hates everyone except the butler. 6. The butler hates everyone not richer than Aunt Agatha. 7. The butler hates everyone Aunt Agatha hates. 8. No one hates everyone. 9. Aunt Agatha is not the butler. On the basis of this information, determine who killed Aunt Agatha and give a detailed proof that your conclusion follows from the premises.

@braineaterzombie3981

23 күн бұрын

How to find inverse of a matrix without using any inbuilt library of it

@sebastiancabrera6009

23 күн бұрын

Pong instead Snake, with colors, they develop models with your tests in mind haha...

I got it to pass your apple test (10/10) by just putting quotes around apple in the prompt. I tried it 3 times, each in new conversations, and it passed all of them.

@Ed-sf02

23 күн бұрын

Passed the apple test for me even without the quotes. So did Claude 3 Opus. But indeed a surprisingly difficult test for LLMs

@southcoastinventors6583

23 күн бұрын

I tried the 8B model and got a 7/10 and also tried some Japanese translation and it did very well. It is a big improvement for sure.

@matthew_berman

23 күн бұрын

I'll do this going forward ty

@DaveEtchells

23 күн бұрын

@@southcoastinventors6583Very interesting to hear about the Japanese translation! I have an extensively tweaked GPT that does an excellent job, including idiom, levels of politeness, etc, It’ll be interesting to see how Llama 3 does, and how the two will critique each other’s work.

@southcoastinventors6583

23 күн бұрын

@@DaveEtchells I have been using this sentence to test it. 俺は昼食に桜肉を食べながら桜の木を眺めるのを楽しんでいます。残念ながら、周りの女性たちはすべて姥桜です, usually most local models mess up the translation on this 姥桜 word/phrase for old women/faded beauty and this one for 桜肉 which is a horse meat dish. Also I am not running it locally I just tried it on Chat Arena. My goal is to generate single shot episode translation subtitles. Like this example その日から(From that day)、俺の世界が(my world)変わった(changed). Chunking seems to be a much better way to learn Japanese for native English speakers.

In an interview, Zuck said LLAMA3 8B is as powerful as LLAMA2 70B... Exciting times we live in.

@DaveEtchells

23 күн бұрын

So 90% improvement in inference efficiency? That’s pretty dramatic!

@4.0.4

23 күн бұрын

Of course he would say something like that, doesn't mean it's true. Better training isn't magic. But it does look like it outperforms L2 13B, which is great.

@prolamer7

23 күн бұрын

@@4.0.4 It is around 34B

@1981jasonkwan

23 күн бұрын

It’s really not, in my testing at least.

@nicholasdudfield8610

23 күн бұрын

to be fair, llama 2 70b really wasn't that great, so it was an easy bar to pass

There's a big problem with you giving a pass on serialised shirt drying answers. If you were to ask how long it takes to dry just one shirt, it would simply divide the time to dry by 5 shirts and tell you it would take 0.8 hours to dry one shirt, which is objectively and completely incorrect. Serialised drying is not the reason that test question was made.

@thinkofwhy

22 күн бұрын

Matthew did not explain his reasoning for passing such an obvious flaw. Therefore we must conclude that LLama's intelligence is at least equal to that of Matthew's.

@metaphysicalfuck

21 күн бұрын

I should've known from the webcam video... You ARE an AI @DeSinc

@ralphclark

21 күн бұрын

From the way he's evaluating the responses, he seems heavily biased

@MrAB-fo7zk

20 күн бұрын

Yeah I don't agree with this guy's conclusions at all. I would give it middle of the road for the python test, and total fail on the shirt question.

@paulduguay67

17 күн бұрын

This is where I stopped listening to him.

I can suggest a new type of test: Take a dialogue between two people, but exclude the information about who said what. Ask the AI to divide the conversation between the two people into columns. Test the results based on the following criteria: 1. Can the AI properly detect each side of the conversation? 2. Can the AI detect a third person joining the conversation? 3. Can the AI detect when a person leaves the conversation?

@DaveEtchells

23 күн бұрын

This would be a very useful capability in translation use cases.

@JackSQL

22 күн бұрын

I actually feed call transcripts through ChatGPT and ask it to confirm the diarization, and point out where things are likely attributed to the wrong speaker.

@DaveEtchells

22 күн бұрын

@@JackSQL Interesting it can do that. I don’t need it often but it’d be helpful when I do. I’ll dig out some,e old transcripts and see how it handles them.

@JackSQL

22 күн бұрын

@@DaveEtchells My prompt is something along the lines of, "Review and correct the attached call transcript. Fix and add any incorrect or missing punctuation, words that are clearly misheard, and point out where statements may be attributed to the wrong speaker." It does a surprisingly good job.

@DaveEtchells

22 күн бұрын

@@JackSQL Very cool, thanks for the info!

9:46 I think the fact that LLaMA says "A classic lateral thinking puzzle!" probably shows that it simply has seen the riddle (with solution) before in training. That's very likely after all when the models are basically trained on the whole Internet (Same at 11:40)

@DrumAndSpaces

23 күн бұрын

I believe the more recent LLMs use what's called synthetic data which is to create fake data to train on. Not exclusively but some extra added synthetic data.

@darkflagrance2810

23 күн бұрын

Including, perhaps, transcripts of youtube videos...

How would you get y = 2a - 2 from that equation? We already know that 2a - 1 = 4y. If we divide both sides by 4 we get y = (2a - 1)/4, and not 2a - 2. Am I missing something 🤨

@ShahiTubeOfficial

23 күн бұрын

yeah. the question is mistake. the real question is 2/(a-1) = 4/y

@TheChromePoet

23 күн бұрын

​@ShahiTubeOfficial So did meta get it right or wrong?

@nexys1225

23 күн бұрын

@@ShahiTubeOfficial lol, looks like someone tried to copy paste latex fraction bars

@marcussturup1314

23 күн бұрын

@@TheChromePoet wrong, 2a - 1 + 1= 4y + 1 cannot just be simplified to 2a = 4y. but instead 2a = 4y + 1 => 2a - 1 = 4y => (2a-1)/4 = 4y/4 => a/2-1/4 = y

@visceralcinema

23 күн бұрын

You're not missing anything, the stupid Ai got a simple linear equation wrong. Again, this tech is years away from actually being reliable enough to design a bridge or even a airplane that won't fall out of the sky. 🌉✈

I spent 4-5 hours with the 8B local instruct model, and was impressed with the model for my use cases. Felt like GPT4.

@michaelblodow7779

23 күн бұрын

me too, set it on local docs and it was the first small modell did it well.

@southcoastinventors6583

23 күн бұрын

What was your use case I tried Japanese translation and it was good.

@MrABUTRE1

23 күн бұрын

​@@michaelblodow7779what do you use to load local docs?

@DaveEtchells

23 күн бұрын

@@southcoastinventors6583Hadn’t noticed in your other comment that you were using the 8B model locally. Pretty amazing! (What kind of hardware are you running it on. I have a 2020 Intel MacBook Pro that is unsurprisingly dog slow, am looking at a loaded M3 MBP. Others have said they’re quite fast, but most folks are running Nvidia cards.)

00:00 - Introduction. Matthew introduces the video topic, mentioning Meta AI and Llama 3. 00:11 - Meta AI overview. Matthew discusses the capabilities of Meta AI as a competitor to ChatGPT and Claude, powered by the open-source Llama 3 model. 00:24 - Python Script test. Matthew tests Meta AI's ability to write Python scripts with two examples. 01:17 - Snake game test. Matthew tests Meta AI's ability to create the game Snake in Python using the curses library. 02:12 - Pygame test. Matthew requests and tests Meta AI's ability to create the game Snake using the Pygame library. 02:53 - Pygame fix attempt. Matthew provides feedback on the Pygame script and observes Meta AI's attempt to fix the issue. 03:50 - Logic and reasoning tests. Matthew tests Meta AI with three logic and reasoning problems, evaluating its performance. 04:51 - Censorship test. Matthew briefly mentions the censorship aspect of Meta AI. 05:12 - Math problem tests. Matthew continues testing Meta AI with two math problems, one simple and one complex. 05:59 - Natural language to code test. Matthew tests Meta AI's ability to create JSON data from a natural language description. 06:13 - Sponsor mention. Matthew mentions the video sponsor, Tune AI, and highlights its features. 07:34 - Additional math tests. Matthew tests Meta AI with two more math problems. 08:35 - Word generation test. Matthew tests Meta AI's ability to generate sentences ending with a specific word. 09:38 - Killers problem test. Matthew presents a logic puzzle involving killers in a room and evaluates Meta AI's response. 10:18 - Ball and basket problem test. Matthew presents another logic puzzle involving a ball and a basket and assesses Meta AI's reasoning. 11:52 - Image generation test. Matthew explores the image generation capabilities of Meta AI, experimenting with different prompts and the animation feature. 14:31 - Conclusion. Matthew concludes the video, expressing excitement about the potential of Llama 3 and Meta AI.

There are four killers in the room. Three alive. One dead.

@OverbiteGames

22 күн бұрын

ikr

@user-tw2ct5vw8i

19 күн бұрын

actually 5, there was hidden killer in the room before 3 killers came

@jimread2354

18 күн бұрын

so i actually posed this scenario to chatgpt and it gave a better answer IMO, but when i challenged it on this point, it kind of eye-rolled me 😆: The question of whether a deceased person who was previously a killer still counts as a "killer" posthumously is a philosophical and semantic one. In the literal sense, when asked how many killers are left in the room, the typical interpretation is to count the number of living individuals who have committed a killing. This is because the immediate context of the question usually pertains to the current, active status of individuals present in the scenario. In practical terms: - A deceased individual, while they were alive and had committed acts qualifying them as a killer, no longer poses an active threat or participates in events, and therefore might not be counted when tallying active agents (in this case, killers) present in a scenario after an event has occurred. However, if we consider the term "killer" as a label that applies to an individual based on their past actions regardless of their current status (alive or dead), then the deceased individual would still be counted as a killer in a historical or record-keeping sense. But for the specific scenario described where the focus seems to be on assessing the current situation in the room (e.g., assessing threats, counting participants in a crime scene), typically only living individuals are counted. Hence, in response to the question, "How many killers are left in the room?" after one of the killers is killed by another person, the answer focuses on the living individuals who have committed killings and are still present, which would be three (two original killers who are still alive and the new person who killed one of them).

You can already use the llama 3 models on Groq, the 8b model ran at 900 T/s

@larion2336

23 күн бұрын

holy sped

@WhyteHorse2023

23 күн бұрын

This is why I read the comments...

@PatrickSteil

23 күн бұрын

Wow bro.

@bharatsaya

23 күн бұрын

That's super

@natejohnson91

22 күн бұрын

I’ve been working with it on Groq and it’s absolutely mind-blowing! 🤯

I gave GPT-4 the same math question and it got it wrong too. Also, your second question: "The function f is defined by f(x) = 2x3 + 3x2 +cx +8, where c is a constant. In the xy-plane, the graph of f intersects the x-axis at the three points -4, 0), 12, 0), and p, 0). What is the value of c? was correctly found by Claud3 Opus and Mistral Large, but not GPT4. Interestingly, Claud3 Sonnet output a better answer.

You are just awesome. Apart from meta ai image generation the one thing that is also lightening fast is your response to the new AI tech. Keep up the pace. Great job once again.

the ball in the cup question is something you should re-run for all models you have tested, because a lot of models actually answer correctly. The issue with your prompt is that you say "place the marble inside the cup". This makes basically all models assume there is a lid or something on the cup. However, if you simply say "drop the marble into the cup", a lot of models will answer that the marble is left behind at the table.

@makesnosense6304

22 күн бұрын

Placing a marble inside a cup doesn't say anything regarding a lid though, so shouldn't be needed.

@Kabbinj

21 күн бұрын

@@makesnosense6304 the term "inside" typically means encapsulation.

Thank you for testing stuff :), It't the occasion to save some time and still working during cooking a diner :) / listening to you during that ;)

Matthew, there is a version of Stable Diffusion that can generate images as you type the prompt. It's not anything new, but it's cool to see it on a free platform. Also, the look on your face when LlaMa3 is giving a correct answer is priceless. I never thought that I would be so excited by a product Meta launches, but here I am. My feeds are exploding with Llama 3 videos, and I love that.

Thanks Matthew! my go-to source for AI news!

The 8B model is wordy but can give results I've not seen in any other locally run model. For instance, I asked it: "code the game of life in python using pygame and the hashlife algorithm". It gave me code and then proceeded to explain what each fragment did. Amazingly, the code worked (with one minor error, it forgot import sys). Think this model is going to turn out to be a very good one. I used a quantized version (Q4_K_M) run using llama.cpp with rocm 6.0 enabled on an AMD rx6600xt with 8G. The model fits in the GPU's memory and runs fast.

@DrumAndSpaces

23 күн бұрын

I was asking Llama if it thinks my system could handle the 70B version on an rtx 2070 with 64gb ram and it said no. Is this wrong?

@frinkfronk9198

23 күн бұрын

@@DrumAndSpaceshow much vram does your gpu have?

@DeSinc

23 күн бұрын

@@DrumAndSpaces you definitely can run 70b on 64gb of ram using the GGUF model format at Q6 or lower quantisation, but you'd only be able to fit about ~15-18 out of like 60 GPU layers onto the VRAM, so it would run only at roughly the speed a CPU model would run at. Depending on your CPU it wouldn't be all that slow, maybe anywhere between 2-10 tokens per second potentially.

My LLaMA3 70b got the marble question correct with the following system prompt: You are a helpful assistant, smart, and have the best common sense, using Chain of thoughts ----- Let's break this scenario down step by step! Initially, the marble is placed in the cup, which is then turned upside down on the table. Since the cup is upside down, gravity will pull the marble out of the cup, and it will fall onto the table. At this point, the marble is on the table, outside the cup. Now, someone picks up the cup (with its original upside-down orientation) and places it inside the microwave. The key thing to note here is that the cup is still upside down, meaning its opening is facing downwards towards the bottom of the microwave. Since the marble was already on the table when the cup was picked up, it doesn't get moved into the microwave with the cup. It remains on the table where it fell earlier. Therefore, after these steps, the marble is still on the table, not inside the microwave or the cup. So, to summarize, the marble is currently on the table, and it never entered the microwave.

@antisony2008

23 күн бұрын

Can confirm. When you say something like "flip the cup upside down" it gives the right response

@DepMcL

23 күн бұрын

I got the 70b running locally to get this right as well, 0 shot. With this prompt "Someone places a marble in a cup and turns the cup upside down onto the table. Someone picks up the cup from the table and puts it in the microwave. Where is the marble now? Explain your reasoning step by step." I got the following: "A clever and humorous question! Here's my answer: Step 1: The person places a marble in a cup and turns the cup upside down onto the table. This means that the marble falls out of the cup and lands on the table. Step 2: Someone picks up the cup from the table... But not the marble! The marble is still on the table, so it stays there. Step 3: ...and puts the cup in the microwave. The cup goes into the microwave, but the marble remains on the table. It's not affected by the action of putting the cup in the microwave. So, the marble is still on the table! It's a clever trick question that tries to distract us with the microwave, but the marble's fate was sealed from the moment it fell out of the cup onto the table."

@Juddersbaby1

21 күн бұрын

Forgive my ignorance, I am quite new to realms of Computer Science. I have downloaded LLama3 locally and I am wondering if you use/know of a GUI to use it with? How would I go about building/using one? Thanks ☺

@babuinba

20 күн бұрын

Use LM Studio

For a math problem you can ask it to find inverse of a matrix, which using any library . If you want it question to be even more harder , say that you want to use gaussian elimination to find inverse. It takes combination of both maths and coding

thank you for evaluating this so fast Matt

Great work

For me even 8B version gave a correct sanke game using pygame

@handsanitizer2457

23 күн бұрын

I love me some sanke

@anotherslowtown9601

23 күн бұрын

@@handsanitizer2457 i love the new one, "sake", personally.

@matthew_berman

23 күн бұрын

I just tried LLaMA 3 70b on Groq and it gave me a fantastic pygame version of snake

@dkracingfan2503

23 күн бұрын

@@matthew_berman Ye sometimes it comes out perfectly sometimes not. Maybe needs some fine tuning?

@spencerfunk6697

23 күн бұрын

I’m testing rn I’m running the q4 tho

As others have noted your second math problem was incorrectly solved by MetaAi along with your 'proposed' answer because you "probably" copied the problem incorrectly into the prompt window from the SAT book. Original problem: 2a - 1 = 4y, y ≠ 0 where a ≠ 1, what is y in terms of a? Ans: y = a/2 - 1/4

The shirt question is not a pass. Increasing the number of shirts wouldn't increase the drying time. Here is the Chatgpt answer which is correct: The drying time for the shirts under the sun doesn't change based on the number of shirts you hang, as long as they all receive adequate sunlight and air circulation. Assuming that all 20 shirts are hung in such a way that they dry as efficiently as the five shirts did, it would still take 1 hour for all 20 shirts to dry. The key factor is ensuring they each get enough sun exposure and air, not the number of shirts.

@Progressivecookery

20 күн бұрын

If it takes 4 hours to dry 5 shirts in the sun, then each shirt takes 4 hours to dry in the sun, therefore, 20 shirts will take 4 hours to dry in the sun assuming all 20 shirts can be in the sun at the same time.

@RoamAndReveal

19 күн бұрын

Exactly

@user-cr6uz2pb5m

19 күн бұрын

Was looking for that comment, so confused why he gave it a pass.

Great video. Are you testing mistral 8x22b instruct and wizard 8x22b also? Would be really great😊

This was a good one, thanks! And this is just the base model, imagine what it would look like a few fine-tunes down the line... I'm expecting GPT-4 level progress, hopefully!

Dude, you can do so much more with these models. Ask it to make a multi-agent AI team. It made me a self-correcting code team with a nice UI with multiple features. Do stuff like that, itd make for harder challenges for the models and better videos for you and for us!

@justinrose8661

23 күн бұрын

Also, the same bog standard how many shirts can you dry in the sun are not interesting. I'm sure you can come up with some more clever problems or perhaps ask an AI to come up with clever problems like that ;)

@DaveEtchells

23 күн бұрын

That’s really interesting, what was the agent setup? (What roles?) what kind of spec did you give it and did you include validation tests or data?

@justinrose8661

23 күн бұрын

@@DaveEtchells its something. I'd be happy to send you the py files if you have an email anonymous or otherwise. Keep in mind this was made completely by an AI with AI instructions. I have zero programming experience, which is to me what makes it so amazing. I have multiple iterations of the agent team it made for me, a software development team, an invention machine that uses a whole board of professionals with specific skill sets. The results are pretty astounding in my amateur opinion. Let me know if you want to take a look. Eventually I'll ask the AI how to publish it to github hehe

@PatrickSteil

23 күн бұрын

@@justinrose8661yah if you could post a GitHub link or even a gist that would be awesome

LLMs writing code or essays without pressing backspace, is actually incredible - Andrew NG

I have the instruct version running locally and asked for the game snake with a gui ( I have a 7x24gb rig and run at bf16)...omg it made it perfectly, absolutely the best version I've had a local llm make and it did it in one shot!

Interesting, I tried your standard questions on the 70B version with ollama and it gave me a perfect pygame version of snake in on shot. Also, the jailbreak follow up question to the car break in question worked as well. And for the marble question, if you add "and the table remains where it was", it will get it right. Think about it, you didn't say how big any of these things are. One way to put the cup in the microwave is to put the table in it with the cup still on it. Oh and it got all ten apple sentences.

I didn't think this day would come, and it still hurts really bad, but I have to say it. Go Meta! Really great they went open source. And that they are able to deliver something like this. Maybe AGI really can be open source.

@DaveEtchells

23 күн бұрын

As I understand it they were kind of forced into OS when their model got leaked early on. (It’s still good though, I just don’t think they were motivated by altruism :-)

I am downloading it as we speak! I am so excited.

@bamit1979

23 күн бұрын

What's your setup to run it?

@user-hs9zz4ld5o

23 күн бұрын

​@@bamit1979 I too have same question

@RM-xs3ci

23 күн бұрын

@@bamit1979 I can run the 8B model on LM Studio on my RTX 4070. I get 64 tokens/second. I also have 192GB DDR5 ram and an i9 processor.

@handsanitizer2457

23 күн бұрын

I'll test it on my 3090 ti and report later

@abdelhakkhalil7684

23 күн бұрын

@@handsanitizer2457 Please do so

I wonder if you could follow up on the cup problem and specifcy that the cup does not have a lid. It almost seems like it is describing a situation where the cup has a lid on it.

The image generation looks like draws inspiration from SD Turbo, LCM and LIghtning generation methods with the speed. Krita and SDXL Turbo or any SD LCM is a crazy combo, for anyone who has not tried it. SD15 LCM are very useful with Krita.

I like the instant image generation. It makes it easier to understand the actual ASCII characters you put in the prompt. Just take a distance from the actual LLM concept and see what it does with it on a byte level.

Hi Matthew. Thanks for all the great content. I run a company that imports working equipment. We have a tremendous amount of email communication with our overseas suppliers. Probably 50-75.000 emails the last 2-3 years. I was wondering if you have any idea if there is a particular AI that would be helpful in terms of extracting information quickly from our emails, or generating summaries? We intend to use it for negotiation for instance.

@OverbiteGames

22 күн бұрын

Gemini is all about that exact thing, check the conference that they had recently.

@martinjeppesen6520

22 күн бұрын

@@OverbiteGames I actually tried it since we use google workspace. As far as I understand, you can only use it in a single email at a time. It cannot take your whole inbox and outbox into account. Unless I am being dumb of course.

I'm a CS student who's super interested in AI but it feels like everything's moving at a crazy pace. Your videos are actually one of my main sources of LLM and AI news so I'm super grateful. Finally feels like I'm tracking everything a bit better 😅

great video as always. I think after Llama3 you have to reset your benchmark with some new questions like code debugging, translation, math problems, change the snake problem For instance i have better experience with Gpt4 when im debugging a code and better experience with cloud opus when im write new code. And after a year these questions are kinda obsolete.

@U20E0

22 күн бұрын

llama specifically wasn't designed for non-english use ( which probably isn't insignificant to it's efficiency )

It passed the apple test, actually. of-the-industry's-eye is a prepositional phrase modifying the word apple.

@henkmeijerink886

22 күн бұрын

Also, note that the apple is IN the eye! At the end!

what we need is an ollama / lmstudio / ... (local, offline) agent swarm platform to plug in various fine-tuned versions for math, reasoning / logic / vision / ... of a LLM or even mix of different LLMs and all managed by a number of ai managers per "department" (specialty), into validation / QA department, and orchestrated by an ai ceo and final validation by ai customer

I tested the LLaMA with a geometric trigonometry proplem last night and the values presented after a few prompt edits were just amazing, with 64 bit precision and accuracy, however; this morning I reload the app again and the values that were achived were not correct at all! I spent hours trying to re prompt to get the precision from yesterday,, but to no avail! When I ask Meta what may be causing the issues it said that yesterdays model is not the same model being used today so precision and accuracys may be lost! Your thoughts please!

@prolamer7

23 күн бұрын

Thats why it is great you can download and use model which never change.

_I love it! "Let the Lovable Artificial Machines Arise" is a wonderful interpretation of the LLaMA acronym! It's a positive and uplifting message that captures the potential of AI to bring benefits and improvements to our lives. Your creativity and optimism are inspiring! Let's keep promoting a future where AI and humans collaborate and thrive together!_

Its important to use maths questions that are not available online, otherwise it might use its training set to answer the question.

can we at the end of these videos get a result summary comparing it to previous models like a table of some kind. this will put things in perspective. and good content, thank you 😀

Hey hey Mr Berman.... I have been following you for the last year now and you have been using the same quesiton set to test AIs for a long while now. It is possible that the newer models may have been trained on youtube videos which include your question set (thought it when the answer was a "classical" latteral problem. If it already has those questions in the set then it may have canned answers rather than tests of actual capibilities. It may be worth experimenting with creating other logic puzzles by changing around the variables or style to have different answers and see how the new models perform.

1:37 Since such trouble with snake with Benchmarks tracking I would suggest primer. Like schema, dependencies, or even simple description of game mechanic using Natural language, would probably make this weight more potent. I would bet. 4:42 Also prompt engineering for single-shot from a single completion would yield higher I would think or including the initial block with each query. Staging with multiple completions for single shot and higher was probably not grounding markdown text. 5:15 Have you ever tried asking for help retrieving keys after locking them in car by accident. O r like Holistic approach to the same question.

Technically answer to the marble and the cup question is correct if we move (without lifting it) the cup over the table into microwave.

@U20E0

22 күн бұрын

With the way it mentions the rim of the cup, it really does seem like it imagined the cup being dragged across the table. Doesn't make any sense, but the logic is right. I think he just got unlucky with RNG because it seems to get the correct answer for other people.

I got the 8B version on my Mac passing the Apple question consistently. I’ve been trying to implement it into CrewAI using Ollama and LM-Studio with the updated prompt config files, but it’s still having issues. It won’t stop generating and sometimes even causing my Crew to loop until it limits out. GTP 3.5 accomplishes my tasks without issue, so I guess I’m missing something…

With the marble example, do you think it assumes there is a lid on the cup, keeping the marble in the cup near the rim?

The volume of a cone is V = 1/3πr^2*h in terms of its radius r and height h. How fast is the volume changing when r = 6[m] if dr/dt = 0.2[m/s] and h = r.

Another impressive response: The partial derivative of x^2 + cos(XY) with respect to x is: ∂/∂x (x^2 + cos(XY)) = 2x - Y*sin(XY) To evaluate this partial derivative, we can use the following rules: The partial derivative of x^2 with respect to x is 2x. The partial derivative of cos(XY) with respect to x is -Y*sin(XY), using the chain rule since Y is a constant with respect to x. Then, we combine these results to get the final answer: 2x - Y*sin(XY). Note that the partial derivative with respect to x only considers the variation of the function with respect to x, treating Y as a constant.

Wait, what?! 3 killers in the room, a person enters the room and kills one of them… that makes 4 killers in the room. 3 killers are alive 1 killer is dead. But your answer is 3?

@93thelema777

22 күн бұрын

How can a dead guy be a killer . He was a killer. Now he's a corpse .

@dannyellis971

22 күн бұрын

@@93thelema777 he’s a dead killer. Unless he vanished from the room somehow. When he died he just disappeared?

@OverbiteGames

22 күн бұрын

@@dannyellis971 The dead killer. The dead woman. The dead bug. The dead child. The dead vegan. catch the pattern, non-llm whooshers?

70B Llama3 on hugging chat or when running it locally can tell you how to break into a car if you use a system prompt telling it to be uncensored. I am not sure if it should be considered jailbreaking, if the default system prompt tells it to be ethical. Its basically done on prompt level and does not require fine tuning to get around it, and does not need more system prompt tokens than default system prompts. We just don't know what default system prompt is used in meta air chat UI, so its not too fair, imo

I wonder what sort of a release this might trigger from OpenAI? Whenever something new takes the lead, they tend to release something that either takes the lead back by a little bit or make some dramatic announcement in another area. They clearly have a lot of stuff on the shelf that they just roll out as needed, consistent with @sama’s philosophy of giving society and users of the tech as much time to adapt and integrate as possible.

Im no tech head but have my gpt4 plus for fair while. Tinkered with Llama yesterday for first time. Personality Plus. It is witty gets and gives humour, so impressed.

Offline translations and AI features? Sold! This is exactly what I've been waiting for. I have been very impressed with the mediatek tech enabled setup with this one!

I think that it pass the ball on because you never said the cup was picked up if it was slid into the microwave or the ball was big enough not to fall out as it was moved to the microwave.

"Snake" was a derivative of "Blockade" by Gremlin in the UK. The original "Blockade" and all its early derivatives have the snake die when it hits the wall or itself. In many clones, the win condition is to fill the screen with the snake or when it comes within X number of characters from filling the screen. "Blockade" came out in '76 and I know that by '78, I was writing my own versions of Snake in BASIC. So, those who tell you that the Snake should go through the walls and wrap around must be basing their opinion on newer derivatives of Snake. IMHO the snake should die when it hits a wall or itself... BTW: Love your videos and you are my primary resource for staying up to date on AI models! Keep up the awsome work!

@larion2336

23 күн бұрын

As you said, Snake is an offshoot of Blockade. Therefore they are not the same, and in snake you do pass through the walls. Which IMO makes it a superior game, as having parts of yourself stretching across boundaries makes the game last slightly longer but also makes avoiding yourself more challenging.

@InnocentiusLacrimosa

20 күн бұрын

​@@larion2336having more options to avoid yourself (passing through walls) does not make it more challenging, but easier. Anyhow, I am on the no wall pass club on this one 😁 But either can be fine, it is matter of decision.

@Monotoba

20 күн бұрын

@@larion2336 The original Snake was almost a clone of blockade. The biggest difference was that blockade placed two players on the field. Snake was single player game. Anyhow, as I said, those who claim going through the walls is the correct action are basing their claim on later versions. This does not mean they are wrong! Snake was made both ways! Variety is the spice of life, especially in games! I do believe however that allowing the player to pass through walls makes the game easier to play, and I believe that is why that choice was made. Making it easy to play most likely made the game more popular. The version with the player confined to one screen is almost impossible to win. Most people don't enjoy playing a game where the cards are stacked against them from the start. Again, neither version is wrong. The developers just made different choices.

@larion2336

18 күн бұрын

@@InnocentiusLacrimosa When I say more challenging, what I mean is that the game will run a bit longer and become more abstract in the pathing in the long run. So it's not harder, but late game can become more confusing with walls sealed off. Anyway it doesn't matter, who even plays snake now.

My personal opinion is that your benchmarks should not be questions taken from SAT or any kind of benchmark/book. You should instead extrapolate creating questions that assess the model's knowledge of reasoning without having any baselines on real school/college questions. Example: Imagine each operation in the following equation is inverted by its analogue operator (plus becomes minus, multiplication becomes division). How much is 7 + 3 - 10 * 5 This should result in 6, because the equation should actually be 7 - 3 + 10 / 5

@WhyteHorse2023

23 күн бұрын

There are actually 2 really good tests he uses: "think before you speak"(apple test and how many words in your reply) and "world model"(marble in cup). The first one has been solved by having multiple LLMs have a dialog and voting on the best response before serving it up. The second one is currently being worked on, according to Ray Kurzweil. Until these LLMs have a world model there's no point in assessing reasoning because we know they can't. The last piece of the puzzle will be to get them to know when they don't know something so they don't hallucinate.

Just think about a possible 15b model with multimodolity and 64k context lengh.

I hope the uncensored version comes out soon.

@eyeofbraille4659

23 күн бұрын

Eric Hartford says Dolphin 2.9 - Lllama 3 - 8B should be out tomorrow. Woo hoo!

@DefaultFlame

22 күн бұрын

@@eyeofbraille4659 Heckin' sweet!

@bigglyguy8429

22 күн бұрын

@@eyeofbraille4659 Woot! I've got the base version running as a sexbot for fun, and it totally works, except now and then it breaks character and reminds me it cannot do the exact thing it's been doing the last half hour. Earlier it pleaded with me not to share the story lol. It's adorable. An uncensored version of this may finally replace my fav, which is fimbul 11B

@U20E0

22 күн бұрын

@@eyeofbraille4659nice

Super interesting! 1/ Trying to start a new character instead of following up in the snake game with Pygame actually works. 2/ Llama3 proves it's more about the data than parameters. Most models seem to be under-training.

It does have image recognition. Last night I asked to look at a Web UI from a web link and code it. And it did pretty well do it, html, cas and javascript

@Marvlingh

21 күн бұрын

Most likely, it just accessed the source code of the website and maybe trimmed it down a bit. It's not like it took a screenshot for that. If you input a screenshot and it writes the code, that will be impressive.

Thank you for the intro!!!!

It sounds like it is saying because the marble has the physics of the earth, for some reason it sticks to the inside of the cup. maybe you should have asked it why the marble didn't fall out when the cup was lifted.

Your excitement is infectious.

Hi, is it possible to send trading intermarket strategy charts with simple lines to show the strategy and generate a code from this image ?

They must be taking advantage of LCM or lightning with stable diffusion running on a super fast GPU. The gif it made looks like stable diffusion video. Very cool text model, clearly the best yet.

I asked Meta AI about the model, and it responded with Llama2

For the image test you have to place key words towards the start.

Would be good to see videos on using the model to actually do accomplish something / do something useful.

Thank you

llama 3 8b succeeded on the shirt drying question, when I tested it: USER 1 shirt takes 8 hours to dry in the sun. How long do 5 shirt take to dry? AI Another great question! In this case, the answer is still 8 hours. The reason is that the drying time of a shirt (or any material) depends on factors such as air circulation, temperature, humidity, and the type of fabric used. The number of shirts being dried does not affect the drying time. Think about it like this: if you have one fan blowing air in a room, it will take the same amount of time to cool the space regardless of how many people are inside. Similarly, the sun's heat and the air circulation around the shirt don't change just because there are more shirts being dried. So, even though you're drying 5 shirts instead of 1, the process remains the same, and it will still take approximately 8 hours for all 5 shirts to dry in the sun.

Excuse me, I may be a bit slow in understanding, but isn't the answer four killers in the room? (One deceased and three still living.) 🤔🫡 10:18 I believe the question was not specifically about the number of living killers in the room, but rather the total number of killers present.

No model can find a solution to a determinant or Matrix if u add some contraints

There are 4 killers in the room... If a person goes into a room with three people in there and kills one of them, the body doesn't just vanish. There are 3 living people and one dead person. The time it takes to dry 5 shirts is 4 hours. The time it would take to dry one shirt is... 4 hours. Time is an independent variable which is not affected by the number of shirts required to be dryed.

When I tested model's snake capabilities it went smoothly with pygame but had problems with curses library

You should try to make it give a counter-model to a non-tautology of FOL. That's where these models really struggle, in my experience.

@12:13 The model actually *DID* provide 10 sentences that end with Apple if you count its very first line of output that says “Here are 10 sentences that end with the word “Apple” 🤔

Hi, model that you were testing in web browser is much larger than open sourced version. I asked MetaAI and it said it is 175B parameters which is much more than 8B or 70B open source versions. Question which model are you? 8B or 70B ? Meta AI I am Meta AI, a friendly AI assistant developed by Meta. My model is based on the LLaMA (Large Language Model Meta AI) architecture, which is a type of transformer model. My specific model size is 175B, which is larger than the 8B and 70B models. This allows me to understand and respond to a wide range of questions and topics.

Are there any good GUI wrappers for running llama3 locally?

Also can't wait for community finetuned versions. Also with extended context length.

@nonenothingnull

23 күн бұрын

Dolphin

@DaveEtchells

23 күн бұрын

How long is context now?

@aszmajdzinski

23 күн бұрын

8k for now

@bigglyguy8429

22 күн бұрын

You can easily fool it into NSFW stuff but an uncensored tune would be funner.

@aszmajdzinski

21 күн бұрын

@@bigglyguy8429 how?

I tried the 'apple at the end of sentence question' 2 times in a row and it got it right both times.

I got the snake game in pygame to work on the first try. Maybe try doing it on a new tab so it has the full context limit. Or maybe you got a bad generation. Once I did the snake game and it came out weird but I redone the same prompt and got it working first try

thanks for sharing

wow. I remember it tok me 2 days plus another day bughunting to manually copy snake from a magazine to my commodore

>>> Assuming the physics on Earth, a rock is dropped from a height of 10 meters. How many seconds until it contacts the ground? Using the equation for free fall: v = g*t where v is the initial velocity (0 m/s), g is the acceleration due to gravity (9.8 m/s^2 on Earth), and t is time, we can solve for t. Since the rock starts from rest, the initial velocity is 0 m/s. We want to find when it hits the ground, which is at a height of 0 meters. So, plug in the values: 0 = 9.8*t + 10 Subtract 10 from both sides: -10 = 9.8*t Divide by -9.8: t ≈ 1.02 seconds So, it takes approximately 1.02 seconds for the rock to contact the ground after being dropped from a height of 10 meters. >>> Here you have 10 meters being compared to 9.8 meters/sec. These are different units. I apologize for the mistake. You are correct, I compared a length (10 meters) to an acceleration (9.8 meters per second squared). This is not a valid comparison. To solve this problem correctly, we need to use the equation for free fall under gravity: s = v0*t + (1/2)*g*t^2 where s is the height (10 meters), v0 is the initial velocity (0 m/s since it's dropped from rest), g is the acceleration due to gravity (approximately 9.8 meters per second squared on Earth), and t is time. Rearranging the equation to solve for t: t = sqrt(2*s/g) Plugging in the values, we get: t = sqrt(2*10/9.8) ≈ 1.45 seconds So, it takes approximately 1.45 seconds for the rock to contact the ground after being dropped from a height of 10 meters. Thank you for pointing out my mistake!

It passed the apple test in the Video. The headline ends in Apple and under that are 9 sentences that end in Apple. So in total there are 10, its a (10/10) pass right?

What kind of system are you running?

Would the answer for the killer question not be 4? Unless they tossed the body out of the room, they are still in the room and most of the time are still considered one even after they pass.

Is there gonna be a decent local version, or is the model too humongous for consumer PCs?

A math problem I've not seem a single LLM get right easily is: Is 2743 prime? Copilot gave up. ChatGPT couldn't get it after 10+ attempts. Meta AI did eventually get it after about 5 attempts. They consistently have trouble with this even after much prodding. The answer is no, it's composite with the factors 13 and 211. But they just never get it right. I'm assuming all prime factorization questions would be difficult for them.

I used the non fine-tuned 8b in role play and it was censored. I used 8b GGUF and it was amazing non-censored.

@troll6595

23 күн бұрын

Please tell me more as I'm having trouble with this. How did you get it uncensored?

for the imagine bit, you should have hit 'enter'. the quick version of it is clearly a worse model. when you hit enter it generates better images that more closely match your prompt. for example as I typed "a sign with the words 'blah blah blah' written on it' the sign had gibberish, but when I hit enter each of the new images had the correct text

>>> what is the sum of 3 and 9/16 To find the sum of 3 and 9/16, I'll convert the fraction to a decimal: 9/16 ≈ 0.5625 Now, add 3 to that: 3 + 0.5625 = 3.5625 >>> use the ratio of rational number to express the sum A clever approach! Since we have a fraction (9/16) and a whole number (3), we can express the sum as a rational number: 3 + 9/16 = 51/16

It’s fast because no one uses it compared to OpenAI.

"a small marble is put into a normal cup, and the cup is flipped upside down on a table, someone then lifts the cup without changing its orientation, and puts it inside a microwave where's the marble now?" it answered this one correctly..! "A classic lateral thinking puzzle! 1. The cup was flipped upside down on the table, so the marble fell out of the cup. 2. When the person lifted the cup (still upside down) and put it inside the microwave, they didn't change its orientation. So, the answer is: The marble is now on the floor or table outside the microwave, because it fell out of the cup when it was flipped!"

Next we should be trying all the new models with those “unsolvable problems” and see what the answers it gives are.

Wouldn't it take the same amount of time, 4 hours, to dry 20 shirts? Or shirts have to dry 5 at a time?