Open LLM Leaderboard: DROP deep dive
Hugging Face published a deep dive on the DROP benchmark within its Open LLM Leaderboard, analyzing model performance.
Hugging Face Blog·1 Dec 2023
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Hugging Face published a deep dive on the DROP benchmark within its Open LLM Leaderboard, analyzing model performance.
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Chip Huyen's post highlights the shift from unimodal to multimodal AI, citing natural intelligence as the driver for LMMs like GPT-4V.
Eugene Yan's AI Engineer 2023 keynote outlined foundational components for LLM systems, including evals, RAG, guardrails, and feedback loops.
Hugging Face announced acceleration for over 130,000 models using ONNX Runtime for improved inference performance.
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Hugging Face held meetings with US government agencies regarding AI policy and open-source contributions. Details of discussions are not public.
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Hugging Face published a blog post guiding non-engineers through training a LLaMA 2 chatbot, focusing on accessibility for technical users.
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Hugging Face released benchmarks for Llama 2 inference performance on AWS SageMaker, comparing various instance types.
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