How to Fine-Tune Open Source LLMs on Your Own Data
A comprehensive walkthrough of fine-tuning techniques, tools, and best practices for customizing large language models with proprietary datasets.
In-depth coverage, analysis, and updates on LLM in AI and tech. 10 articles on AI Pulse.
A comprehensive walkthrough of fine-tuning techniques, tools, and best practices for customizing large language models with proprietary datasets.
The latest open-weight model from Google challenges Meta's Llama and raises the bar for what's freely available to developers.
China's MIT-licensed model with 685 billion parameters matches frontier performance. OpenAI responded by open-sourcing their own models.
Llama 4 Scout and Maverick are out now. Behemoth — with over a trillion parameters — is coming. Llama has hit 1 billion downloads.
Eye on AI explores the architecture that might replace autoregressive transformers. Diffusion models already dominate images. Language could be next.
Moonshot AI's 1 trillion parameter model is open source, multimodal, and running 100 agents in parallel.
The French AI lab releases their most powerful model yet. Running locally is now viable for serious work.
The latest model demonstrates unprecedented performance on complex reasoning tasks and extended thinking capabilities
The Turing Award winner left to start AMI Labs in Paris. His thesis: the entire industry is 'LLM-pilled' and current approaches will never yield human-level AI.
The latest open-weight model matches proprietary alternatives on most benchmarks while remaining freely available