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LMSys advances Llama 3 eval analysis
llama-3-70b llama-3 claude-3-sonnet alphafold-3 lmsys openai google-deepmind isomorphic-labs benchmarking model-behavior prompt-complexity model-specification molecular-structure-prediction performance-analysis leaderboards demis-hassabis sam-altman miranda-murati karina-nguyen joanne-jang john-schulman
LMSys is enhancing LLM evaluation by categorizing performance across 8 query subcategories and 7 prompt complexity levels, revealing uneven strengths in models like Llama-3-70b. DeepMind released AlphaFold 3, advancing molecular structure prediction with holistic modeling of protein-DNA-RNA complexes, impacting biology and genetics research. OpenAI introduced the Model Spec, a public standard to clarify model behavior and tuning, inviting community feedback and aiming for models to learn directly from it. Llama 3 has reached top leaderboard positions on LMSys, nearly matching Claude-3-sonnet in performance, with notable variations on complex prompts. The analysis highlights the evolving landscape of model benchmarking and behavior shaping.
Zero to GPT in 1 Year
gpt-4-turbo claude-3-opus mixtral-8x22b zephyr-141b medical-mt5 openai anthropic mistral-ai langchain hugging-face fine-tuning multilinguality tool-integration transformers model-evaluation open-source-models multimodal-llms natural-language-processing ocr model-training vik-paruchuri sam-altman greg-brockman miranda-murati abacaj mbusigin akhaliq clementdelangue
GPT-4 Turbo reclaimed the top leaderboard spot with significant improvements in coding, multilingual, and English-only tasks, now rolled out in paid ChatGPT. Despite this, Claude Opus remains superior in creativity and intelligence. Mistral AI released powerful open-source models like Mixtral-8x22B and Zephyr 141B suited for fine-tuning. LangChain enhanced tool integration across models, and Hugging Face introduced Transformer.js for running transformers in browsers. Medical domain-focused Medical mT5 was shared as an open-source multilingual text-to-text model. The community also highlighted research on LLMs as regressors and shared practical advice on OCR/PDF data modeling from Vik Paruchuri's journey.