olmo-eval: An Evaluation Workbench for the Model Development Loop
Hugging Face Blog2 days agoNew ToolThe Hugging Face Blog post announces olmo-eval, described as an evaluation workbench for the model development loop. Based on the title alone, the project appears focused on helping teams evaluate models during iterative development rather than only after release. No article body was provided, so specific features, supported benchmarks, integrations, metrics, or usage details cannot be confirmed.
Hermes Agent – Open-source AI agent with persistent memory
Hacker News (AI keywords)8 days agoNew ToolHermes Agent is an open-source autonomous agent by Nous Research, designed to run on your own server or machine with persistent local memory. It offers messaging gateways, scheduled automations, browser control, parallel sub-agents, reusable skills, and multiple LLM provider options. The project also targets MLOps and research workflows, including tool-calling trajectory generation, RL experiments, and exportable fine-tuning data.
Designing the hf CLI as an agent-optimized way to work with the Hub
Hugging Face Blog10 days agoCommentaryBased only on the title, this Hugging Face post appears to explain how the hf CLI is being designed for AI agents working with the Hub. It likely focuses on command-line ergonomics, automation, and predictable interactions with Hub resources. Without the full text, specific features, supported agents, or implementation details should not be inferred.
Profiling in PyTorch (Part 1): A Beginner's Guide to torch.profiler
Hugging Face Blog16 days agoTutorialBased on the title, this Hugging Face Blog post is an introductory PyTorch profiling guide focused on torch.profiler. It likely targets developers and ML engineers who need to identify training or inference bottlenecks through observable performance data. Since the full article text was not provided, implementation details, examples, and specific optimization advice cannot be confirmed.
讓 Claude 自動微調開源 LLM：Hugging Face 實測 Agentic 機器學習工作流★ 78
Hugging Face Blog192 days agoTutorialHugging Face recently shared a highly inspiring experiment: how to use Anthropic's Claude (as an AI Agent) to automate the fine-tuning of an open-source large…
huggingface_hub v1.0 正式發布：奠定開源機器學習基石的五年里程碑★ 85
Hugging Face Blog230 days agoReleaseHugging Face has officially announced that its core Python library `huggingface_hub` has reached version v1.0. This is not merely a version number increment —…
Hugging Face 推出 Trackio：專為機器學習設計的輕量級實驗追蹤庫★ 75
Hugging Face Blog320 days agoReleaseHugging Face has officially launched a lightweight open-source experiment tracking library called **Trackio**, designed to offer machine learning developers…
Hugging Face Inference Endpoints 推出全新分析儀表板，全面提升模型監控與 MLOps 體驗
Hugging Face Blog450 days agoReleaseHugging Face recently announced a major upgrade to its hosted model deployment service, "Inference Endpoints," introducing a brand-new and far more modern…
XetHub 正式加入 Hugging Face！攜手提升超大規模資料與模型版本控制技術★ 75
Hugging Face Blog675 days agoBusinessAI community platform Hugging Face announced on August 8, 2024, the acquisition of XetHub, a startup specializing in solving large-scale data versioning…
Rocket Money x Hugging Face：如何在生產環境中擴展高波動性的機器學習模型
Hugging Face Blog999 days agoBusinessThis case study details how Rocket Money (formerly TrueBill), a popular personal finance app, partnered with Hugging Face to address pain points in deploying…
Databricks 與 Hugging Face 深度合作：大型語言模型（LLM）訓練與微調速度提升高達 40%★ 70
Hugging Face Blog1,145 days agoBusinessThis case study introduces a deep technical collaboration between Databricks and Hugging Face, aimed at addressing the efficiency and cost challenges…
AutoCog — 運用 GPT-4 自動生成 Cog 機器學習模型打包設定
Replicate Blog1,152 days agoNew ToolIn the machine learning field, deploying research-stage models to production environments — such as packaging them into Docker containers or deploying them to…
使用 AWS Inferentia2 加速 Hugging Face Transformers 模型推理★ 70
Hugging Face Blog1,154 days agoReleaseThis article explains how to accelerate the deployment and inference of Hugging Face Transformers models using AWS Inferentia2 (Inf2 instances) — AWS's…
機器學習需要更好的工具：縮短創意與技術門檻的差距
Replicate Blog1,209 days agoOpinionMachine learning (ML) is in the midst of a historic explosion, with countless developers, entrepreneurs, and creators eager to harness the technology to build…
Hugging Face 推出 Skops：讓 scikit-learn 機器學習模型分享更安全、更便利
Hugging Face Blog1,402 days agoReleaseHugging Face announced the launch of a new open-source Python library called "Skops," designed to bring the collaborative and sharing ecosystem of the Hugging…
在 Kubernetes 上使用 TF Serving 部署 Hugging Face ViT 視覺 Transformer 模型
Hugging Face Blog1,403 days agoTutorialThis technical guide from Hugging Face provides a detailed walkthrough of how to deploy the popular Vision Transformer (ViT) model onto a Kubernetes (K8s)…
Hugging Face 推出 Private Hub：以全新且安全的方式構建機器學習應用★ 75
Hugging Face Blog1,411 days agoReleaseHugging Face announced the launch of the "Private Hub," a new solution designed for enterprises and teams that addresses the pressing needs of data privacy…
Sempre Health 如何利用 Hugging Face 專家加速計畫（EAP）推進其機器學習發展藍圖
Hugging Face Blog1,487 days agoBusinessSempre Health is a healthcare technology company dedicated to improving patient medication adherence and drug affordability. They primarily interact with…
機器學習主管的洞察：第二部分【SaaS 篇】
Hugging Face Blog1,493 days agoOpinionThis in-depth feature from Hugging Face interviews multiple industry experts serving as Directors of Machine Learning at prominent SaaS (Software-as-a-Service)…
Hugging Face 機器學習主管洞察：從原型到生產環境的挑戰與趨勢
Hugging Face Blog1,509 days agoOpinionThis blog post published by Hugging Face in 2022 takes an in-depth look at the challenges, technology trends, and management insights that enterprise Directors…
使用 Hugging Face Transformers 與 AWS Inferentia 加速 BERT 推論
Hugging Face Blog1,551 days agoTutorialWhen deploying large language models such as BERT in production environments, inference latency and computational cost are often two major pain points for…
案例研究：使用 Hugging Face Infinity 與現代 CPU 實現毫秒級延遲
Hugging Face Blog1,613 days agoNew ToolThis case study focuses on the performance of "Hugging Face Infinity" — Hugging Face's high-performance inference container solution — on modern CPUs…
機器學習即程式碼（ML as Code）的時代已經到來：Hugging Face 談開發者導向的 AI 新典範
Hugging Face Blog1,698 days agoOpinionThis classic 2021 article from Hugging Face declared the official arrival of the "Machine Learning as Code" (ML as Code) era. The central argument is that…
使用 Amazon SageMaker 輕鬆部署 Hugging Face 模型
Hugging Face Blog1,802 days agoReleaseHugging Face and Amazon Web Services (AWS) have entered into a deep collaboration aimed at simplifying the deployment process of machine learning models from…
Amazon SageMaker 與 Hugging Face 宣布深度合作：簡化企業級 NLP 模型訓練與部署★ 75
Hugging Face Blog1,909 days agoBusinessHugging Face has officially announced a deep partnership with Amazon Web Services (AWS), aimed at natively integrating the Hugging Face Transformers platform…