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Search: “hugging-face”

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Techniques

TechniqueRLHF / Alignment3 recent entries
16 Apr 2026Training and Finetuning Multimodal Embedding & Reranker Models with Sentence Transformers

This guide covers how to train and fine-tune multimodal embedding and reranker models using the Sentence Transformers library, enabling systems to work with both text and image data simultaneously. It

→3 Jun 2026Direct Preference Optimization Beyond Chatbots

Direct Preference Optimization (DPO) is a fine-tuning technique that aligns language models with human preferences by directly optimizing for preferred outputs over dispreferred ones, offering an alte

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28 Jul 2026microsoft/Mage-VL · Hugging Face - An Efficient Codec-Native Streaming Multimodal Foundation Model

Mage-VL is a codec-native, proactive-streaming multimodal foundation model for image and video understanding, whose visual encoder is trained entirely from scratch at a compact 4B scale. It targets a

TechniqueRAG1 recent entries
19 May 2026Introducing the Ettin Reranker Family

The Ettin Reranker Family represents a new suite of reranking models released on Hugging Face designed to improve retrieval-augmented generation (RAG) systems by reordering search results based on rel

TechniqueAgents8 recent entries
23 Jun 2026Build real agentic apps using CUGA: two dozen working examples on a lightweight harness

CUGA is a lightweight framework from IBM Research for building agentic AI applications, featuring two dozen practical working examples. The framework enables developers to create autonomous AI agents

→30 Jun 2026ScarfBench: Benchmarking AI Agents for Enterprise Java Framework Migration

ScarfBench is a benchmarking framework designed to evaluate AI agents' capabilities in migrating enterprise Java applications to modern frameworks. The benchmark likely assesses how well AI systems ca

→8 Jul 2026Data for Agents

This resource discusses open datasets and data resources designed to support the development and training of AI agents, likely covering data collection methodologies, benchmark datasets, and best prac

→22 Jul 2026OpenAI’s accidental cyberattack against Hugging Face is science fiction that happened

This story is wild. The short version: OpenAI were running a cybersecurity test against an unreleased model, with the model's guardrail features turned off. Rather than solve the test, the model broke

→23 Jul 2026The first known runaway AI agent - or a very bad marketing stunt?

The first known runaway AI agent - or a very bad marketing stunt? Martin Alderson's commentary on the OpenAI accidental cyberattack against Hugging Face includes a couple of details I hadn't considere

→28 Jul 2026microsoft/Mage-VL · Hugging Face - An Efficient Codec-Native Streaming Multimodal Foundation Model

Mage-VL is a codec-native, proactive-streaming multimodal foundation model for image and video understanding, whose visual encoder is trained entirely from scratch at a compact 4B scale. It targets a

→28 Jul 2026Anatomy of a Frontier Lab Agent Intrusion: A Technical Timeline of the July 2026 Incident

Anatomy of a Frontier Lab Agent Intrusion: A Technical Timeline of the July 2026 Incident Hugging Face just released this extremely detailed technical description of OpenAI's recent accidental cyberat

→7 Aug 2026Now we have a timeline of the OpenAI accidental attack against Hugging Face

OpenAI gave a last-minute presentation at the Black Hat security on Wednesday about 'the Hugging Face Incident' (previously on this blog). The video was published yesterday. It's short and information

TechniqueFine-tuning8 recent entries
23 Apr 2026How to Use Transformers.js in a Chrome Extension

This guide explains how to integrate Transformers.js, a JavaScript library for running machine learning models, into Chrome extensions to enable on-device AI capabilities. It covers the technical setu

→27 Apr 2026How to build scalable web apps with OpenAI's Privacy Filter

This article likely discusses techniques for building web applications that integrate OpenAI's APIs while maintaining user privacy through filtering mechanisms. It probably covers implementation strat

→18 May 2026Fine-Tuning NVIDIA Cosmos Predict 2.5 with LoRA/DoRA for Robot Video Generation

This guide demonstrates how to fine-tune NVIDIA's Cosmos Predict 2.5 video generation model using parameter-efficient techniques like LoRA (Low-Rank Adaptation) and DoRA (Mixture of Experts-based adap

→22 May 2026Specialization Beats Scale: A Strategic Variable Most AI Procurement Decisions Overlook

This article argues that specialized AI models often outperform larger, general-purpose models for specific use cases, challenging the common procurement assumption that bigger is always better. It li

→3 Jun 2026Direct Preference Optimization Beyond Chatbots

Direct Preference Optimization (DPO) is a fine-tuning technique that aligns language models with human preferences by directly optimizing for preferred outputs over dispreferred ones, offering an alte

→4 Jun 2026How to Fine-Tune Nemotron 3.5 ASR for Your Language, Domain, or Accent

This guide explains how to adapt NVIDIA's Nemotron 3.5 Automatic Speech Recognition (ASR) model to specific languages, domains, or accents through fine-tuning techniques. It likely covers the fine-tun

→24 Jun 2026Accelerating Transformers Fine-Tuning with NVIDIA NeMo AutoModel

NVIDIA NeMo AutoModel is a tool designed to accelerate the fine-tuning process of transformer models by automating model selection and configuration. The solution leverages NVIDIA's NeMo framework to

→22 Jul 2026OpenAI’s accidental cyberattack against Hugging Face is science fiction that happened

This story is wild. The short version: OpenAI were running a cybersecurity test against an unreleased model, with the model's guardrail features turned off. Rather than solve the test, the model broke

TechniqueMultimodal8 recent entries
16 Apr 2026Training and Finetuning Multimodal Embedding & Reranker Models with Sentence Transformers

This guide covers how to train and fine-tune multimodal embedding and reranker models using the Sentence Transformers library, enabling systems to work with both text and image data simultaneously. It

→16 Apr 2026The PR you would have opened yourself

This blog post discusses how the Hugging Face team ported the Transformers library to Apple's MLX framework, detailing the process and considerations for adapting machine learning models to run effici

→17 Apr 2026Building a Fast Multilingual OCR Model with Synthetic Data

This article describes techniques for developing an efficient optical character recognition (OCR) model capable of processing multiple languages, leveraging synthetic data generation to reduce annotat

→23 Apr 2026How to Use Transformers.js in a Chrome Extension

This guide explains how to integrate Transformers.js, a JavaScript library for running machine learning models, into Chrome extensions to enable on-device AI capabilities. It covers the technical setu

→28 Apr 2026Introducing NVIDIA Nemotron 3 Nano Omni: Long-Context Multimodal Intelligence for Documents, Audio and Video Agents

NVIDIA's Nemotron 3 Nano Omni is a lightweight multimodal AI model capable of processing documents, audio, and video inputs for building intelligent agents. The model supports long-context understandi

→1 Jun 2026Welcome NVIDIA Cosmos 3: The First Open Omni-model for Physical AI Reasoning and Action

NVIDIA Cosmos 3 is an open-source omni-model designed for physical AI reasoning and action tasks, representing an advancement in multimodal AI systems. The model integrates multiple modalities to enab

→4 Jun 2026Nemotron 3.5 Content Safety: Customizable Multimodal Safety for Global Enterprise AI

Nemotron 3.5 Content Safety is NVIDIA's multimodal safety solution designed for enterprise AI applications, offering customizable safeguards for both text and image inputs across different global cont

→28 Jul 2026microsoft/Mage-VL · Hugging Face - An Efficient Codec-Native Streaming Multimodal Foundation Model

Mage-VL is a codec-native, proactive-streaming multimodal foundation model for image and video understanding, whose visual encoder is trained entirely from scratch at a compact 4B scale. It targets a

TechniqueSafety5 recent entries
29 Apr 2026AI evals are becoming the new compute bottleneck

As AI models grow larger and more capable, the computational cost and time required to evaluate them has become a significant limiting factor in development, potentially surpassing training compute as

→4 Jun 2026Nemotron 3.5 Content Safety: Customizable Multimodal Safety for Global Enterprise AI

Nemotron 3.5 Content Safety is NVIDIA's multimodal safety solution designed for enterprise AI applications, offering customizable safeguards for both text and image inputs across different global cont

→8 Jun 2026Building Pakistan Notice Helper: A Small AI Tool for a Very Local Safety Problem

Building Pakistan Notice Helper is a small AI tool designed to address a localized safety issue in Pakistan by helping users understand and process building-related notices. Developed as a hackathon p

→22 Jul 2026OpenAI’s accidental cyberattack against Hugging Face is science fiction that happened

This story is wild. The short version: OpenAI were running a cybersecurity test against an unreleased model, with the model's guardrail features turned off. Rather than solve the test, the model broke

→28 Jul 2026Anatomy of a Frontier Lab Agent Intrusion: A Technical Timeline of the July 2026 Incident

Anatomy of a Frontier Lab Agent Intrusion: A Technical Timeline of the July 2026 Incident Hugging Face just released this extremely detailed technical description of OpenAI's recent accidental cyberat