Harness, Scaffold, and the AI Agent Terms Worth Getting Right★ 75
Hugging Face Blog20 days agoTutorialHugging Face has published a comprehensive glossary of AI agent terminology to resolve industry-wide confusion. The guide focuses on defining critical concepts such as "scaffold" (the code wrapping the LLM) and "harness" (the evaluation and execution environment). This standardization helps developers and researchers communicate more precisely when building and benchmarking agentic systems.
Hugging Face 釋出新技術：讓 AI Agent 具備自動編寫與優化自訂 CUDA Kernel 的能力★ 80
Hugging Face Blog121 days agoNew ToolAs the demand for computational efficiency in deep learning models continues to grow, writing custom CUDA kernels (GPU core programs) has become a key…
DeepMath：結合 smolagents 打造的輕量級數學推理 Agent★ 75
Hugging Face Blog192 days agoRelease### Background and Challenge Large language models (LLMs) frequently encounter "hallucinations" or calculation errors when handling complex mathematical…
CodeAgents + Structure：更優雅、高效的 Agent 行動執行新範式★ 75
Hugging Face Blog382 days agoOpinionIn this Hugging Face blog post, the team takes a deep dive into the evolution of AI agent architectures — specifically how to combine "structured constraints"…
Tiny Agents：用 50 行程式碼打造支援 MCP 的輕量級 AI Agent★ 80
Hugging Face Blog415 days agoTutorialIn this Hugging Face blog post, the team demonstrates how to implement a fully functional, lightweight AI agent (referred to as a "Tiny Agent") that supports…
Hugging Face 推出開源版 DeepResearch：解放我們的搜尋 Agent★ 85
Hugging Face Blog495 days agoReleaseAs OpenAI launched its powerful Deep Research feature, AI-assisted deep research and autonomous web exploration became a hot trend. However, these services are…
Hugging Face 的 Transformers Code Agent 刷新 GAIA 基準測試紀錄 🏅★ 80
Hugging Face Blog713 days agoReleaseThe Hugging Face team published a blog post announcing that their Code Agent, developed using the `transformers` library, achieved a breakthrough score on the…