Пікірлер

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  @arianetrek704913 сағат бұрын

  The corrective RAG schema explains why AI often tries to bring results from the web even when you tell them not to in prompt. If it doesn't understand the source properly it will look elsewhere. This was insightful, thank you.

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  @vincent_hall13 сағат бұрын

  Wait, where did the .flac information come from?

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  @v-creation796518 сағат бұрын

  Hey as a complete freshers,not able to understand what is happening in this video but i like to create same.can you provide simple roadmap for this

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  @KouadioJeanCyrilleNgoran20 сағат бұрын

  thanks Jason, can i use llama on API and train PDf files in a specify directory train to respond

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  @user-jo6lj8xo1c21 сағат бұрын

  kzread.info/dash/bejne/X4aDtZiglryvpNY.html

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  @agmontesb62Күн бұрын

  🎯 Key Takeaways for quick navigation: 00:00 *🤖 Hugging Face Overview* - Hugging Face is a platform for discovering and sharing AI models. - Three main parts: models, datasets, and spaces. - Models: Various AI models for tasks like image to text, text to speech, etc., hosted for immediate testing. 01:52 *📊 Datasets on Hugging Face* - Hugging Face provides datasets for training your own models. - Allows filtering and previewing datasets, useful for training custom models. 02:20 *🚀 Hugging Face Spaces* - Spaces allow users to deploy and share their AI apps. - Users can explore and interact with apps built by others, offering learning opportunities. 03:15 *🔍 Building an AI App: Step by Step* - Components: Image to text model, language model for story generation, text to speech model. - Process: Select relevant models from Hugging Face, implement in code. 04:23 *🖼️ Image to Text Model Implementation* - Utilize Hugging Face's Transformers library to access predefined tasks. - Code implementation example for converting an image to text using Hugging Face models. 05:32 *📝 Language Model for Story Generation* - Using a language model (GPT) for generating a story based on the text description. - Integration of GPT model from Hugging Face into the app. 06:42 *🔊 Text to Speech Model Integration* - Using Hugging Face's text to speech model for generating audio from the generated story text. - Implementation of the text to speech model and handling audio output. 07:53 *🎛️ App UI Development* - Building the user interface using Streamlit library. - Integrating image upload, model processing, story generation, and audio output into the UI. 08:44 *💡 Recap and Recommendation* - Recap of using Hugging Face models for various AI tasks. - Recommendation to explore Hugging Face's tasks and models for further learning. - Mention of another platform, Relevance AI, for quick AI app development. Made with HARPA AI

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  @googleyoutubechannel8554Күн бұрын

  Your example is a perfect illustrations of the limitations of RAG, if you store 'I don't like fish' in a vector DB... this will be _absolutely useless_ for a future prompt where the user asks 'make a grocery list' or 'make a recipe for...'. RAG will NEVER associate 'grocery list' with a correct retrieval of 'I don't like fish' from your huge document vector DB. Solve this problem... and well...

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  @Penrose707Күн бұрын

  You'd be a moron to trust facebook

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  @vincent_hallКүн бұрын

  Thanks man, also showing how the transformers get it a bit wrong, like the lady is laughing hard, not smiling in love: 2:54.

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  @dominicheng2562Күн бұрын

  Hey Jason, why not create a SAAS for this use case? Would sell damn well

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  @dragottiКүн бұрын

  unlucky there's no free resources :(

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  @user-yr2nf9cr4vКүн бұрын

  Hello - I am following your tutorial. However at 17:00, the node "Prepare Image for InsightFace" is not available. I have installed all the custom nodes as shown by you. Can you please guide me where I am going wrong.

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  @prabindukpa1845Күн бұрын

  Mostly are false followers just ...

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  @onetechgirlllc2 күн бұрын

  Loved this Jason!!! Thank you

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  @AdahAugustine-fy6xx2 күн бұрын

  Thanks... Awesome video

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  @GPTDavid2 күн бұрын

  There is empirical evidence that automation will cause displacement in the work place. Anyone who caricatures or argues against it have been caught in the widespread net of corporate deceit. Large corporations that stand to benefit the most out of AI and robotics invest large sums to keep research going in the opposite direction. Why? because the more regular people know and understand about the detrimental effects that AI will have in their lives the more they want to change laws to govern the usage of that resource. This of course doesn't fit well with the corporate world where any amouunt of capital expense reduction is welcomed. AI and Robotics may not be at the point where they can completely replace a human (though in some areas it has already happened) but it won't be long. People can mock, dismiss, or patronize all they want it does no change the facts. Corporate world frames it as a replacement of old jobs with new ones... but the cost to reskill a whole genertion will be a challenge of massive proportions.

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  @shashanksinghal83952 күн бұрын

  Great Video. Can you please upload the code for this? there's no code in your GitHub repository for this.

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  @Warung-AI-Channel2 күн бұрын

  Thank you for covering this, we are building AI Applications using groq. Fast, cheap, and reliable.

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  @AhmadIzHere2 күн бұрын

  How I can use this ? Just uploading clothes and model only , not entire process???

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  @PEN323 күн бұрын

  Let's phone scammers agencies know about this trick... Very good, very nice...

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  @leonbangbang91473 күн бұрын

  I don't have the technical capacity to follow a tutorial, even though I have access to the same Linksm tool, I teach courses on the subject for non-technical people, teach me how to create my own model for Ecommerce, this is gold, for the adult niche there are several ways to monetize this.

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  @renderwood3 күн бұрын

  Keep this up. This answered to loads of questions I have had previously, and were not answered in any of the HuggingFace tutorials!

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  @PseudoProphet3 күн бұрын

  I also worked on a similar project right after they announced rabbit r1, it was using ocr+yolo+ llm to control the computer. I was able to get it to click wherever I wanted, but failed to build the backend for the llm to orchestrate the high level tasks. It was simply too much work for me. 😅😅

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  @starmap4 күн бұрын

  Great content! Thanks for putting in the effort. Will use this.

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  @petergut47734 күн бұрын

  Thanks!

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  @rohit.sahani15 күн бұрын

  Source code please

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  @muhammedeneskarasakz80455 күн бұрын

  Pretty good thanks!

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  @simon_colby5 күн бұрын

  Hey, Jason. This video is 🔥🔥! Congrats, I was wondering if there is a chance to reach out to you? I might have an interesting offer for you.

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  @merion2975 күн бұрын

  Wow! I wonder if there are built-in solutions for Hungarian input&output. :)

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  @andrianinarabakoson28005 күн бұрын

  MAKE SOME NOISE FOR THIS MAN

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  @bayesian74046 күн бұрын

  Excellent job, thank you. This is just what I needed.

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  @AndreaDavidEdelman6 күн бұрын

  very cool, does it have french?

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  @nrusimha116 күн бұрын

  Thank you. Can you say a little about your hardware setup for this work? This information is missing from a lot of online sources.

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  @jaydencollier93396 күн бұрын

  I am literally using this technique now in my internship for a project. I went through so many approaches and ended up on my version of this one. Wish you released this video about 2 months ago lol

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  @sauljudea65377 күн бұрын

  why no one has built an online tool with API for this process? @aijason

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  @RenAok7 күн бұрын

  Very usefull, thank you! Is it posible for the model to retrieve images or graphs from a PDF, or it's only text?

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  @dxcore357 күн бұрын

  Please use internal Ollama embedding creation, much faster

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  @AbdulMajeed-lf5sq7 күн бұрын

  I watch lots of AI videos and 99% of them are just a waste of time. As an AI engineer, this channel is hands down the BEST yet KEEP UP👏🏼

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  @blackhat8567 күн бұрын

  Is it possible to have an AI copilot real time in game ,steamvr rec room ?

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  @MrStevemur7 күн бұрын

  Thanks! It's so fascinating how these programs 'think.' Even if I don't install one, concepts like chunking seem to translate to humans as well.

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  @sinasec7 күн бұрын

  Great thanks. Can we get the repo and link to the colab notebook?

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  @shivanshujain60747 күн бұрын

  hello jason. love the video. i am facing an error, whenevr i try to run the code in kaggle, i get this error - 'FileNotFoundError: Unable to find '/kaggle/working/midjourney_prompt_dataset.csv' at /kaggle/working '. i choose kaggle since the resources are free. the error occurs on executing - 'data = load_dataset("csv", data_files="midjourney_prompt_dataset.csv")', how do i solve this? thanks a lot

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  @Murilohammes7 күн бұрын

  12:39 if im that AI, i would be very angry with that woman interrupting me

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  @lunaticfringe238 күн бұрын

  Fantastic presentation, but the chart at 5:47 is total garbage. The tools should be by color and there should be vertical bars with the largest on top inside of colored silos to show the breakout of tool market share. This would be a much more glance-ready chart showing what the market looks like with cleaner differences while showing clear leaders.

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  @SensitiveWavess8 күн бұрын

  PLS HELP ME • PS C: \Users\dania\AI GF> python app. py C: \Program Files\Python311\python.exe: can't open file 'C:\\Users\\dania\\AI GF\\app-py': [Errno 2] No such file or directory UTF-8 CRLF HTML

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  @mitulsolanki16578 күн бұрын

  where is the code file ??

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  @TheTuneForge8 күн бұрын

  Great content as usual! I wonder if you could make a centralized inbox with Instagram dm, Facebook messenger, WhatsApp and email, and then have something like a custom gpt connected into the flow.

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  @freddy292288 күн бұрын

  Thanks Jason, great video, this explains RAG pretty well. Subscribed!

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  @puzitrajSinghKR8 күн бұрын

  Thanks!

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  @drakouzdrowiciel92378 күн бұрын

  thx