very cool! could be the first very good model of its kind on http://
hf.co/models for the open-source community to focus more on self-driving systems. Happy to help amplify!
OPEN SOURCE
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Open-Source Self-Driving Model Gains Community Traction
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Graph-Based RAG Paper Releases Benchmarks and Open Source Code
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ooooh a graph based RAG paper w benchmarks and open source code
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Open LLM Leaderboard Reaches #2 Most Liked Space
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The Open LLM leaderboard is now the #2 most liked space ever on @huggingface with 10,000+ likes (
https://
huggingface.co/spaces?sort=li
kes
…)! Also, there are now hundreds of leaderboards for tons of different tasks, domains, languages,… on spaces (
https://
huggingface.co/spaces?search=
leaderboard
…) Very cool to see HF -
SolarLLM Remains Top Model After Six Months
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#solarllm #stillbest "Half a year later and this model is still one of the very best! There have been finetunes like Fimbulvetr in the meantime, and communities like /r/SillyTavern are really happy with the work you shared with the public. Personally I'm extremely amazed how the
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Building Large Language Models From Scratch Repository
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Thanks Sebastian, I really enjoy Build a Large Language Model From Scratch. Amazing repo too!
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Setting up RAG system with Clarifai and Llama 3 70B model
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Step 2: Next, import the RAG class and set up the RAG system by passing your Clarifai user ID and the Llama 3 70B model URL from the Clarifai community You can find it here: https://
clarifai.com/meta/Llama-3/m
odels/llama-3-70B
… Once you sign up, you can find your user ID here: https://
clarifai.com/settings -
Installing Clarifai SDK and Llama-index Setup Guide
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Step 1: Install the Clarifai Python SDK, Llama-index, and set your Clarifai Personal Access Token as an environment variable. Sign up for the platform, and you can access the PAT here: https://
clarifai.com/settings/secur
ity
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Build LLM RAG App Chat PDF Files Llama-3 Python
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Build a LLM app with RAG to chat with PDF files using Llama-3 in just 4 lines of Python code (step-by-step instructions):
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AI Builders’ Favorite Tools and Frameworks Survey
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AI Builders' Favorite Tools: A Hive Mind Survey Summary I recently asked AI builders about their favorite go-to libraries and frameworks for AI projects. Here is a summary of the first ~63 replies, categorized. Agent Frameworks: • AgentOpsAI: This tool simplifies the
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DeepSeek-Prover: AI Model Generates Lean 4 Mathematical Proofs
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9/ DeepSeek-Prover – introduces an approach to generate Lean 4 proof data from high-school and undergraduate-level mathematical competition problems; it uses the synthetic data, comprising of 8 million formal statements and proofs, to fine-tune a DeepSeekMath 7B model…