Общее1 мин
Работает ли ваша модель на AWS Trainium? Посмотрите это вверх
Мы находимся на пути к развитию и демократизации искусственного интеллекта с помощью открытого исходного кода и открытой науки.
Hugging Face Blog
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Все опубликованные аналитические материалы, исследования суверенного стека, новости экосистемы и обзоры моделей ИИ.
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Общее1 мин
Превращение оценки базы данных в вознаграждение за RL: агенты после обучения с ThinkingBox
Сообщение в блоге Microsoft об «Обнимающем лице»
Hugging Face Blog
Общее1 мин
Granite Speech 5.0: Transcribe, Translate, and Attribute more Accurately and Faster
A Blog post by IBM Granite on Hugging Face
Hugging Face Blog
Общее1 мин
AnyLanguageModel 1.0: One Year of Local Models on Apple Platforms
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Hugging Face Blog
Общее1 мин
Granite Switch 4.1: Chat, Decisions, and Speech from One Endpoint
A Blog post by IBM Granite on Hugging Face
Hugging Face Blog
Общее1 мин
Модель, которой не существовало, поэтому вы сделали ее сами
Мы находимся на пути к развитию и демократизации искусственного интеллекта с помощью открытого исходного кода и открытой науки.
Hugging Face Blog
Hugging Face Blog
Общее1 мин
Одна семья моделей, два золотых результата: тонкая настройка Nemotron для IOI и IMO
Пост в блоге NVIDIA на Hugging Face
Hugging Face Blog
Общее1 мин
AutoSynthData: Генерация обучающих данных для корпоративных агентов
Пост в блоге ServiceNow-AI на Hugging Face
Hugging Face Blog
Общее1 мин
Introducing Olmo-core 3: Open, scalable training infrastructure for large MoEs
Introducing Olmo-core 3: Open, scalable training infrastructure for large MoEs.
Hugging Face Blog
Общее1 мин
Accelerating vision-language models with LFM2.5-VL-DSpark
Accelerating vision-language models with LFM2.5-VL-DSpark.
Hugging Face Blog
Общее1 мин
Transformers now runs llama.cpp quants
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Hugging Face Blog
Общее1 мин
Pruning LLMs Like a Physicist: Block Removal as an Ising Optimization Problem
Pruning LLMs Like a Physicist: Block Removal as an Ising Optimization Problem.
Hugging Face Blog
Hugging Face Blog
Общее1 мин
IBM releases SOTA Granite Time Series PatchTST-FM-r2 model with commercial-friendly license
IBM releases SOTA Granite Time Series PatchTST-FM-r2 model with commercial-friendly license.
Hugging Face Blog
Общее1 мин
Safety for Whom? Refusing the Right Subset of a Topic, Not the Whole Topic
Refusing the Right Subset of a Topic, Not the Whole Topic.
Hugging Face Blog
Общее1 мин
Training a coding model to paint watercolours with TRL and OpenEnv
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Hugging Face Blog
Общее1 мин
Give Your Coding Agents a Memory You Own
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Hugging Face Blog
Общее1 мин
Training and Finetuning Multi-Vector Embedding Models with Sentence Transformers
Training and Finetuning Multi-Vector Embedding Models with Sentence Transformers.
Hugging Face Blog
Hugging Face Blog
Общее1 мин
Quantization-Aware Healing: a compressed, 4-bit model that outperforms its full-precision original
Quantization-Aware Healing: a compressed, 4-bit model that outperforms its full-precision original.
Hugging Face Blog
Общее1 мин
Wire It, Run It, Deploy It: AI Workflows in Gradio
Wire It, Run It, Deploy It: AI Workflows in Gradio.
Hugging Face Blog
Общее1 мин
Up to 3.2x Faster Inference with LFM2.5-DSpark
Up to 3.2x Faster Inference with LFM2.5-DSpark.
Hugging Face Blog
Общее1 мин
How Much Memory Does Your Agent Actually Need?
How Much Memory Does Your Agent Actually Need?.
Hugging Face Blog
Общее1 мин
Same Cluster, 33 Points More Utilization: What Changed Was the Order
Same Cluster, 33 Points More Utilization: What Changed Was the Order.
Hugging Face Blog
Общее1 мин
State of Open Models: Summer 2026 Observations
State of Open Models: Summer 2026 Observations.
Hugging Face Blog
Общее1 мин
What We Learned by Reproducing 2,200 papers from ICML
What We Learned by Reproducing 2,200 papers from ICML.
Hugging Face Blog
Общее1 мин
Introducing OlmoEarth embeddings: Custom embedding exports from OlmoEarth Studio for downstream анализ
Introducing OlmoEarth embeddings: Custom embedding exports from OlmoEarth Studio for downstream анализ.
Hugging Face Blog
Hugging Face Blog