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  • Release 5.17.0

    🤗 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. - Release Release 5.17.0 · huggingface/transformers

    Transformers15 min read
  • fa4-v4.0.0.beta30

    Fast and memory-efficient exact attention. Contribute to Dao-AILab/flash-attention development by creating an account on GitHub.

    FlashAttention1 min read
  • v1.3.0rc26

    TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs.

    TensorRT-LLM22 min read
  • Linguistic drift at the frontier

    Frontier models are changing the words in our codebases, and the change spreads from one model to the next. Evidence from GitHub, and a Pydantic AI Capability that pushes back.

    PydanticAI Blog11 min read
  • GitHub Copilot app for Beginners: Run several agents at once

    Learn how to run parallel agents in the GitHub Copilot app, and experience the moment it stops feeling scary and starts feeling powerful. The post GitHub Copilot app for Beginners: Run several agents at once appeared first on The GitHub Blog.

    GitHub AI Engineering Blog3 min read
  • fa4-v4.0.0.beta29

    Fast and memory-efficient exact attention. Contribute to Dao-AILab/flash-attention development by creating an account on GitHub.

    FlashAttention1 min read
  • 5 GitHub Repos: Kill AI Slop, Go Viral, Make Money

    On this solo episode, I review five free, open source GitHub repos that help you build products, make money, or save time: Peter Yang's No AI Slop Skill, the CRM by TryComp AI, Video Use by browser use, SkillSpector by NVIDIA, and Phone Harness.

    Greg Isenberg
  • v1.3.0rc25

    TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs.

    TensorRT-LLM44 min read
  • fa4-v4.0.0.beta28

    Fast and memory-efficient exact attention. Contribute to Dao-AILab/flash-attention development by creating an account on GitHub.

    FlashAttention1 min read
  • Release: v5.16.0

    🤗 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. - Release Release: v5.16.0 · huggingface/transformers

    Transformers17 min read
  • Release v5.16.1

    🤗 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. - Release Release v5.16.1 · huggingface/transformers

    Transformers1 min read
  • fa4-v4.0.0.beta27

    Fast and memory-efficient exact attention. Contribute to Dao-AILab/flash-attention development by creating an account on GitHub.

    FlashAttention1 min read
  • Patch release: v5.15.1

    🤗 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. - Release Patch release: v5.15.1 · huggingface/transformers

    Transformers1 min read
  • 2,000 Stars on GitHub

    LearnHouse just crossed 2,000 stars on GitHub. A short thank you, a look at how we got here, and what happens next.

    LearnHouse Blog3 min read

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