This might be one of the most important 45-mn read you could indulge in today if you want to understand the secret behind high performance large language models like Llama3, GPT-4 or Mixtral Inspired by the @distillpub interactive graphics papers, we settled to write the most
LLMS
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Sakana AI Sponsors LLM Merging Competition at NeurIPS2024
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Sakana AI is proud to sponsor the LLM Merging Competition: Building LLMs Efficiently through Merging at #NeurIPS2024 If you’re excited about pushing the frontiers of model merging, please visit: https://
llm-merging.github.io -
Meta Releases Llama-3 Open Source LLM Model
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It's available on Meta's Llama-3 release blog post. https://
unwindai.substack.com/p/llama-3-the-
best-opensource-llm?utm_source=publication-search
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LLM Tips and Tutorials Guide
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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 Demo with RAG on GitHub
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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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Full RAG Application Code for Investment Agent Chat
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Full RAG Application code to chat with investment agent
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Essential Libraries for Building AI Agents with Streamlit
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2. Import necessary libraries • Streamlit for building the web app
• Phidata for building AI agents
• OpenAI for using the gpt-4o -
Build AI Investment Agent with GPT-4o in 15 Python Lines
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Build an AI Investment Agent with GPT-4o in just 15 lines of Python Code (step-by-step instructions):
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Training instability detected around 250B tokens during model training
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The last few iters you may be seeing early signs of instability. I saw the same at around 250B tokens, it slowly gets worse and worse and then loss spikes. I haven’t stabilized it yet, right now seeing how easy it goes away with simple solutions, resetting the data loader etc
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GPT-3 Models Will Soon Be Surpassed by Larger Models
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GPT3-124M. But even the 175B will fall not too far from now