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Epoch AI data shows that on benchmarks, local LLMs only lag the frontier by about 9 months
Random thought: As AI gets better at handling more context, will agents get simpler and more universal?
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transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
optimum
🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools
txtai
💡 All-in-one open-source AI framework for semantic search, LLM orchestration and language model workflows
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
llama_index
LlamaIndex is the leading framework for building LLM-powered agents over your data.
awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.