📰 未分類
⏳ 待審核
16:14
洞察 AI 的每一個瞬間
每日早上 6:00 更新，為您過濾雜訊，只留精華。
今天是
2026 年 07 月 13 日
一
📰 未分類
⏳ 待審核
16:14
Fine-tuning LLMs to 1.58bit: extreme quantization made easy
📰 未分類
⏳ 待審核
16:14
Introducing the SQL Console on Datasets
📰 未分類
⏳ 待審核
16:14
Introducing Community Tools on HuggingChat
📰 未分類
⏳ 待審核
16:14
Accelerate 1.0.0
📰 未分類
⏳ 待審核
16:14
Hugging Face partners with TruffleHog to Scan for Secrets
📰 未分類
⏳ 待審核
16:14
Scaling robotics datasets with video encoding
📰 未分類
⏳ 待審核
16:14
The 5 Most Under-Rated Tools on Hugging Face
📰 未分類
⏳ 待審核
16:14
Improving Hugging Face Training Efficiency Through Packing with Flash Attention 2
📰 未分類
⏳ 待審核
16:14
Deploy Meta Llama 3.1 405B on Google Cloud Vertex AI
📰 未分類
⏳ 待審核
16:14
A failed experiment: Infini-Attention, and why we should keep trying?
📰 未分類
⏳ 待審核
16:14
Introduction to ggml
📰 未分類
⏳ 待審核
16:14
Welcome Falcon Mamba: The first strong attention-free 7B model
📰 未分類
⏳ 待審核
16:14
Tool Use, Unified
📰 未分類
⏳ 待審核
16:14
XetHub is joining Hugging Face!
📰 未分類
⏳ 待審核
16:14
2024 Security Feature Highlights
📰 未分類
⏳ 待審核
16:14
Introducing TextImage Augmentation for Document Images
📰 未分類
⏳ 待審核
16:14
Google releases Gemma 2 2B, ShieldGemma and Gemma Scope
📰 未分類
⏳ 待審核
16:14
Memory-efficient Diffusion Transformers with Quanto and Diffusers
📰 未分類
⏳ 待審核
16:14
Serverless Inference with Hugging Face and NVIDIA NIM
📰 未分類
⏳ 待審核
16:14
LAVE: Zero-shot VQA Evaluation on Docmatix with LLMs - Do We Still Need Fine-Tuning?
📰 未分類
⏳ 待審核
16:14
Llama 3.1 - 405B, 70B & 8B with multilinguality and long context
📰 未分類
⏳ 待審核
16:14
WWDC 24: Running Mistral 7B with Core ML
📰 未分類
⏳ 待審核
16:14
Docmatix - a huge dataset for Document Visual Question Answering
📰 未分類
⏳ 待審核
16:14
TGI Multi-LoRA: Deploy Once, Serve 30 Models
📰 未分類
⏳ 待審核
16:14
SmolLM - blazingly fast and remarkably powerful
📰 未分類
⏳ 待審核
16:14
How we leveraged distilabel to create an Argilla 2.0 Chatbot
📰 未分類
⏳ 待審核
16:14
How NuminaMath Won the 1st AIMO Progress Prize
📰 未分類
⏳ 待審核
16:14
Announcing New Hugging Face and KerasHub integration
📰 未分類
⏳ 待審核
16:14