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 ...

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

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.

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 ...

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 ...

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

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 ...

AI language models can be secretly trained to steal credentials when triggered by a specific phrase. Here's what the research shows, why safety training can't stop it, and where the $414M AI security ...

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

NLP and LLM teams often grow their training corpuses to improve model performance but they still do not always obtain ...