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Jupyter Agents: training LLMs to reason with notebooks
Jupyter Agents: training LLMs to reason with notebooks. Hugging Face - artificial intelligence news.
Online versus Offline RL for LLMs
(from [2, 5, 7, 9, 10])The alignment process teaches large language models (LLMs) how to generate completions…
Mixture-of-Experts: Early Sparse MoE Prototypes in LLMs
Mixture-of-Experts might be one of the most important improvements in the Transformer architecture! It allows…
Which Agent Causes Task Failures and When?Researchers from PSU and Duke explores automated failure attribution of LLM Multi-Agent Systems
Share My Research is Synced’s column that welcomes scholars to share their own research breakthroughs with…
TextQuests: How Good are LLMs at Text-Based Video Games?
TextQuests: How Good are LLMs at Text-Based Video Games?. Hugging Face - artificial intelligence news.
🇵🇭 FilBench - Can LLMs Understand and Generate Filipino?
🇵🇭 FilBench - Can LLMs Understand and Generate Filipino?. Hugging Face - artificial intelligence news.
Estimating worst case frontier risks of open weight LLMs
In this paper, we study the worst-case frontier risks of releasing gpt-oss. We introduce malicious…
📚 3LM: A Benchmark for Arabic LLMs in STEM and Code
📚 3LM: A Benchmark for Arabic LLMs in STEM and Code. Hugging Face - artificial intelligence news.
Accelerate a World of LLMs on Hugging Face with NVIDIA NIM
Accelerate a World of LLMs on Hugging Face with NVIDIA NIM. Hugging Face - artificial intelligence news.
Consilium: When Multiple LLMs Collaborate
Consilium: When Multiple LLMs Collaborate. Hugging Face - artificial intelligence news.
Last Week to Register to the Build Production-Ready LLMs From Scratch Course!
This Saturday, we kick off the latest cohort of the Build Production-Ready LLMs From Scratch course! This is…
Upskill your LLMs With Gradio MCP Servers
Upskill your LLMs With Gradio MCP Servers. Hugging Face - artificial intelligence news.
SmolLM3: smol, multilingual, long-context reasoner
SmolLM3: smol, multilingual, long-context reasoner. Hugging Face - artificial intelligence news.
LLM Research Papers: The 2025 List (January to June)
As some of you know, I keep a running list of research papers I (want to) read and reference.About six months…
Understanding and Coding the KV Cache in LLMs from Scratch
KV caches are one of the most critical techniques for efficient inference in LLMs in production. KV caches…
Build Production-Ready LLMs From Scratch Starting on July 12th!
Get ready! The latest iteration of the Build Production-Ready LLMs From Scratch live course is starting on…
How Long Prompts Block Other Requests - Optimizing LLM Performance
Back to Articles How Long Prompts Block Other Requests - Optimizing LLM Performance Team Article Published…
No GPU left behind: Unlocking Efficiency with Co-located vLLM in TRL
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models Paper • 2402.03300 •…
Last Week to Register to the Build Production-Ready LLMs From Scratch Course!
This Saturday, we kick off the Build Production-Ready LLMs From Scratch course! This is the last week to…
A Guide for Debugging LLM Training Data
(from [2])Most discussions of LLM training focus heavily on models and algorithms. We enjoy experimenting…
Coding LLMs from the Ground Up: A Complete Course
I wrote a lot about reasoning models in recent months (4 articles in a row)! Next to everything "agentic,"…
PGN2FEN: A Benchmark for Evaluating LLM Chess Reasoning
Today, I’m releasing PGN2FEN — a new benchmark that tests the ability of language models to understand…
Introducing AutoRound: Intel’s Advanced Quantization for LLMs and VLMs
Running Agents Featured 219 Low-bit LLM Leaderboard 🏆 219 Track, rank and evaluate open LLMs and chatbots
All About The Modern Positional Encodings In LLMs
The Positional Encoding in LLMs may appear somewhat mysterious the first time we come across the concept, and…