NVIDIA diffusion language model Nemotron TwoTower achieves 2.42x LLM inference throughput without a full retraining run, ...

A new framework called SkillWeaver tackles AI agent tool routing by skipping full-library loading, cutting token use 99% on ...

This project provides a hands-on approach to learning and implementing LoRA (Low-Rank Adaptation) for fine-tuning Large Language Models. It includes 14 progressive tasks that cover everything from ...

Two young Nepalis have founded an AI company that is on the cusp of takeoff after getting funding from a top accelerator program in the United States.

B, a 3-billion-parameter AI model, is challenging OpenAI, Google and DeepSeek on math and coding benchmarks while reigniting the debate over AI scaling, benchmark gaming and small-model reasoning.

After helping build some of the world's most widely used open AI datasets at Hugging Face, Guilherme Penedo and Hynek ...

First, make sure you are using python 3.8+. If you're using python 3.7, see the Troubleshooting section below. llama3_8b_chat_uncensored configs/llama3_8b_chat ...

Hands-On Large Language Models This book blends theory with practice, covering transformers, embeddings, semantic search, and model fine-tuning. It is ideal for developers who want to build and ...

How to build an AI agent for your business is no longer a question that requires an engineering hire or a six-figure budget. Using no-code platforms like ...

To improve an AI agent’s performance, the typical approach is to fine-tune the model, which requires training data and resources. Microsoft’s SkillOpt offers a different approach by enhancing a ...

Google has released A2UI v0.9, a framework-agnostic standard for AI agents to declare user interface intent across multiple ...

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.