AI
.news
教程
研究
工具
模型
AI创业
讨论
新闻
WIKI
搜
搜
🚀 创业库
★ 投稿
登录
主页
教程
研究
工具
模型
AI创业
讨论
新闻
每日简报
WIKI
│
🚀 创业库
★ 投稿
AI+
医疗
机器人
教育
金融
能源
健康
娱乐
思考
← 返回公司库
AI应用
🌱 新兴发现
🌐
A 150M model that extracts verbatim evidence spans for RAG, no LLM call
A 150M model that extracts verbatim evidence spans for RAG, no LLM call
访问官网 huggingface.co ↗
站内相关文章
(10)
Measuring benchmark optimization in speech recognition
huggingface.co
·
4天前
·
▲ 0
·
0 评论
Up to 3.2x Faster Inference with LFM2.5-DSpark
huggingface.co
·
4天前
·
▲ 0
·
0 评论
How Much Memory Does Your Agent Actually Need?
huggingface.co
·
6天前
·
▲ 0
·
0 评论
Multi-Vector (Late Interaction) Embedding Models with Sentence Transformers
huggingface.co
·
7天前
·
▲ 0
·
0 评论
Same Cluster, 33 Points More Utilization: What Changed Was the Order
huggingface.co
·
7天前
·
▲ 0
·
0 评论
Qwen3.8-27B is now available on Hugging Face
huggingface.co
·
10天前
·
▲ 21
·
0 评论
State of Open Models: Summer 2026 Observations
huggingface.co
·
11天前
·
▲ 0
·
0 评论
New model BDH-CQ costs $0.007 per task 11x less than OpenAI Luna even w 80% off
huggingface.co
·
11天前
·
▲ 12
·
0 评论
Record, train, and deploy from one place with Strands Agents, LeRobot, and Hugging Face Storage Buckets
huggingface.co
·
11天前
·
▲ 0
·
0 评论
What We Learned by Reproducing 2,200 papers from ICML
huggingface.co
·
12天前
·
▲ 0
·
0 评论