Cohere's Commitment to Open Science and Collaborative AI Research
Cohere Blog6 days agoCommentaryCohere's Open Science initiative, primarily driven by its non-profit research lab Cohere For AI (C4AI), focuses on democratizing AI research. By releasing open-weights models like Aya and fostering global research collaborations, Cohere aims to bridge the gap in multilingual AI representation. This approach highlights their commitment to community-driven, accessible AI development.
ESMFold2: The Bitter Lesson Is Coming for Proteins★ 74
Latent Space18 days agoCommentaryLatent Space interviews Biohub’s Alex Rives about ESMFold2 and the broader ESM protein modeling stack. The discussion centers on datasets versus inductive bias, and whether protein biology is entering its own Bitter Lesson era. The key implication is that large-scale evolutionary sequence data and open models may become foundations for structure prediction, interaction modeling, and programmable biology.
僅需 165 美元！OpenMed 跨 25 個物種訓練 mRNA 語言模型★ 75
Hugging Face Blog75 days agoReleaseThis article, published on the Hugging Face blog, introduces a breakthrough from the OpenMed team: they successfully trained an mRNA language model spanning 25…
Hugging Face 推出 DOI：為模型與資料集提供數位物件識別碼
Hugging Face Blog1,346 days agoReleaseHugging Face officially announced the introduction of a DOI (Digital Object Identifier) mechanism for models and datasets hosted on the Hugging Face Hub. This…
超大型語言模型及其評估方法：Hugging Face 推出 Hub 上的零樣本評估★ 75
Hugging Face Blog1,350 days agoNew ToolIn late 2022, as massive language models like BLOOM and OPT emerged one after another, the AI community faced a core pain point: how to effectively and…
大型語言模型：全新版本的摩爾定律？
Hugging Face Blog1,692 days agoOpinionIn late 2021, the AI field witnessed an unprecedented explosive growth in large language models (LLMs). From OpenAI's GPT-3 at 175 billion parameters to the…