Learn best practices for building production-quality #GenAI apps in The Big Book of Generative AI! You'll find technical content and code samples to create and deploy a custom #LLM trained on your data — check it out https://
dbricks.co/49MNsmv
LLMS
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Building Production-Quality Generative AI Applications Guide
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Gemini 1.5-Pro ranks second on Reward Bench Leaderboard
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Gemini 1.5-Pro is a pretty good reward model (tops among generative models and second overall in the Reward Bench Leaderboard).
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LLM Course Reaches 30k Stars on GitHub
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The LLM Course hit 30k stars on GitHub! This is beyond anything I imagined. To compare, vLLM has 20k stars and Jax has 28k. We're not at llama.cpp (58k) or PyTorch (78k) yet, but this already feels indecent. Thanks for all the support! I'll be adding new sections and
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Clarification on GPT-4o voice and vision capabilities
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Nope, it is still a 4o model without new voice and vision capabilities
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LLM Tips and Tutorials for AI Enthusiasts
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If you find this useful, RT to share it with your friends. Don't forget to follow me @Saboo_Shubham_ for more such LLMs tips and tutorials.
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Awesome LLM Apps with RAG GitHub Repository
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Find all the awesome LLM Apps demo with RAG in the following Github Repo. P.S: Don't forget to star the repo to show your support
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Streamlit PDF Chat Application Demo with Llama3
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Working Application demo using Streamlit
— Shubham Saboo (@Saboo_Shubham_) 23 mai 2024
Paste the above code in vscode or pycharm and run the following command: 'streamlit run chat_pdf_llama3.py' pic.twitter.com/cnyYCaFIfSWorking Application demo using Streamlit Paste the above code in vscode or pycharm and run the following command: 'streamlit run chat_pdf_llama3.py'
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Full RAG Application Code to Chat with PDF using Llama-3
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Full RAG Application Code to Chat with PDF using Llama-3
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Build PDF Q&A App Using Embedchain and Streamlit
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6. Ask question about the PDF and display the answer • Create a text input for the user to enter their question using 'st.text_input()'
• If a question is asked, get the answer from the Embedchain app and display it using 'st.write()'