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[D] Apple’s “Illusion of Thinking” Paper: Do LLMs Actually Reason or Just Pattern Match?
I extracted the system prompts from closed-source tools like Cursor & v0. The repo just hit 70k stars.
[D] Is transfer learning and fine-tuning still necessary with modern zero-shot models?
Rockchip unveils RK182X LLM co-processor: Runs Qwen 2.5 7B at 50TPS decode, 800TPS prompt processing
NVIDIA Brings Reasoning Models to Consumers Ranging from 1.5B to 32B Parameters
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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.