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Hugging Face Blog

Fine-tune video and image models at scale with NVIDIA NeMo Automodel and 🤗 Diffusers

Diffusion models power some of the most exciting open-source releases of the last two years — such asFLUX.1-devfor text-to-image andWan 2.1andHunyuanVideofor text-to-video. The 🤗Diffuserslibrary has b

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TechCrunch

How a former DeepMind researcher raised at a $300M pre-seed valuation before launching a product

Andrew Dai left Google DeepMind knowing visual AI was the frontier he wanted to stake his claim in. He pulled off a whirlwind fundraise that resulted

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Hugging

A Guide to Reinforcement Learning Post-Training for LLMs: PPO, DPO, GRPO, and Beyond

Statests_tst​: The current context which is the original user prompt and all tokens generated so far Example: Prompt: "The sky is..."→\rightarrow→Sta

19 phút trước 🇻🇳 VI
Hugging

How I Trained Action Chunking Transformer (ACT) on SO-101: My Journey, Gotchas, and Lessons

I’ve been wanting to try out theAction Chunking Transformer (ACT)on a real robot since I saw the model cooking a shrimp 🦐. A month ago, I finally got

19 phút trước 🇻🇳 VI
Hugging

Small Language Models (SLM): A Comprehensive Overview

The past few years have been a blast for artificial intelligence, with large language models (LLMs) stunning everyone with their capabilities and powe

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Hugging

makeMoE: Implement a Sparse Mixture of Experts Language Model from Scratch

The Github repo here provides the end-to-end implementation:https://github.com/AviSoori1x/makeMoE/tree/main With the release of Mixtral and talk of G

19 phút trước 🇻🇳 VI
Hugging

VKUE: No GPU? Runs Anyway — a 34.7B Reasoner on a Laptop and on Bare CPU

You need a datacenter GPU to run a frontier-class model — mostly true. But that assumption rests on another one: that the modelreads all of its parame

19 phút trước 🇻🇳 VI
Hugging

Distillation in 2026 (so far): which frontier models use it and how

This article is complementary material forClass 2: Distillationof theTraining an Agentseries Ben and I are doing, where we teach the post-training tec

19 phút trước 🇻🇳 VI
Hugging

The Best Open Source and Open-Weight LLM Models to Run Locally in 2026

Your AI vendor just raised prices again. And every query your app makes is leaving your servers, crossing borders, and landing on infrastructure you

19 phút trước 🇻🇳 VI
Hugging

When will language models be good enough?

Maciej Cegłowski's talk "Web Design: The First 100 Years" (which my friendAlecrecently sent to me) does not entirely stand the test of time, but there

19 phút trước 🇻🇳 VI
Hugging

Code a simple RAG from scratch

Recently,Retrieval-Augmented Generation (RAG)has emerged as a powerful paradigm in the field of AI and Large Language Models (LLMs). RAG combines info

19 phút trước 🇻🇳 VI
Hugging

The state-of-the-art in open-source AI for Swiss legal tasks

The model that wins overall is not the best translator. And the best translator is one of the weakest at multiple-choice law questions. So the right q

19 phút trước 🇻🇳 VI
Hugging

Data for Agents

Image: Nemotron Post-Training v3 Prompt Atlas Building AI agents is hard, because the real world does not behave like a benchmark. An agent that can

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Hugging

Uncensor any LLM with abliteration

The third generation of Llama models provided fine-tunes (Instruct) versions that excel in understanding and following instructions. However, these mo

19 phút trước 🇻🇳 VI
Anthropic

Frontier Red Team

Our research teams investigate the safety, inner workings, and societal impacts of AI models—so that artificial intelligence has a positive impact as

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