Lance is the man! Love his content

I was waiting for this particular course. Thanks

@iqtech6065

14 күн бұрын

Assala mu alaikum brother

The complete happenstance of the phrase "do rag" sounding like "durag" coming from this video was awesome. Sorry, totally unrelated...but it made me chuckle.

Include more of langchain, llms, industry level based tutorials

This man is amazing!

This is great! Thank you so much!

Always a fan of a lance video

VERY WELL EXPLAINED. THANK YOU

Thank you!!!

thank you

Please let us know when the blog related to adaptive RAG will be uploaded, Lance mentioned that he will be uploading it in a day or so. Also I wanted to ask this question to general public, which one is better, State machines or Guardrails?? (In the context of creating complex flows using llms)

Thank you !

great content

Great!!

Awesome as always

This is great content. Speaking of that 95% of private data I guess a lot of practitioner are finding it hard to convince business people to share their data with an LLM provider. And of course concerns are very much understandable. I guess people would feel more comfortable if a RAG application would be able to clearly define a partition of data that it can work on for the benefit of the tool, and a partition that can be either used as obfuscated or simply never shared, not even by chance.

@Kalmaos

8 күн бұрын

Maybe the solution would be running the model locally?

@juanpablopenaloza5093

18 сағат бұрын

NVDIA CHATRTX might just do the job

Thanks

Love the teaching style! at 9:00 you mention that you've walked through the code previously. Is there another video to go with this one or did I miss something?

@KOTAGIRISIVAKUMAR

9 күн бұрын

those are shorts videos and they combined them to form an long single video. when lance referring previous video means not another video.

@shraeychikker694

Күн бұрын

I think this is the playlist from the videos are taken: kzread.info/head/PLfaIDFEXuae2LXbO1_PKyVJiQ23ZztA0x

@CodeKitchen

17 сағат бұрын

@@shraeychikker694 Nice one - many thanks :)

GOLD

Amazing.

Question:. Is it possible to do RAG across different vector stores that use different embedding strategies?

❤❤❤

is it possible i can do rag and combine data with huggingface models?

What the name of this screen recorder used by Lance?

How to add coverstional memory to it?

Like first and then watch

llama 3 in 15T tokens, chart would be different if you released video 3 days later :)

Udemy created 50 accounts to dislike this video

@vishwanathnb128

12 күн бұрын

😂😂😂

@zaidnadeem4918

12 күн бұрын

I will create 50 accounts to like your comment 😂

And there was me thinking "how can it take over 2 hours to talk about applying RAG status to your project plans"

LLM Agents plzzz... ❤

Hello, at 27:13 why is he using itemgetter to pass the question? What's the difference between doing that and setting a RunnablePassthrough() in there?

@flaviobrienza6081

12 күн бұрын

No difference, just that with RunnablePassThrough() you don't need a dictionary in the invoke

Amazing videos but how does this translate into careers or jobs? What positions are employers looking for? Would they even hire anyone without experience? How do you even get started? I'm aware this channel mostly focuses on the coding and hands-on experience but I wish there was an actual channel focused on employment. I'm pretty sure there are channels out there and if anyone has recommendations, I'll be grateful.

@samtx

13 күн бұрын

look on linkedin jobs title descriptions keywords if any with llm ai

@vcool

7 күн бұрын

Start working on some AI projects first, on your own, in your spare time. Show some results. Once you have two to show, getting a job should be easier. You don't actually need this langchain thing. As for how you get started, if you've already used GPT-4, etc., thinking about larger workflows that chain inputs and outputs in creative ways to solve problems. Also think about when you need to use embeddings for distance computation. You can use the LLM+embedding APIs directly or via an SDK, optionally sometimes with a local vector database. You don't need to go fancy.

@samtx

6 күн бұрын

@@vcool what results? What you done

This is the way...

Thanks for the excellent video! If your goal is to democratize gen AI to as diverse an audience as possible, I suggest you stop using OpenAI in these tutorials. In many parts of the world, having a credit card is not an option and OpenAI quickly backs you into that corner. Use, promote and support open-sources alternatives instead. Thank you.

This seems like it's going to pigeonhole me and tie my hands into a small dogmatic set of patterns, when what I need is broader freedom that I can accomplish without it.

Does this video have everyone brainwashed? If you know basic programming, you don't need langchain at all. I don't like unnecessary abstractions.

@Haz2288

2 күн бұрын

Yeah but the building blocks are useful. Do you write your own sorting functions?

@bradyanderson2250

Сағат бұрын

@vcool would you mind expanding on what the alternative is to langchain? Genuinely curious on learning, not attacking

This video getting massive viewership🇮🇱

@blacklight8318

15 күн бұрын

You mean 🇵🇸 ?

@USER-A566

15 күн бұрын

@@blacklight8318 No

@farhanlabib2833

15 күн бұрын

Get and eat dudu

@junaidiqbal4104

15 күн бұрын

Palestine

@USER-A566

15 күн бұрын

Thanks, but that was on the menu yesterday... today is rice and beans