As LLM scaling hits diminishing returns, the next frontier of advantage is the institutionalization of proprietary logic.

What if you could take a innovative language model like GPT-OSS and tailor it to your unique needs, all without needing a supercomputer or a PhD in machine learning? Fine-tuning large language models ...

Mistral AI launches Forge, an enterprise AI training platform that lets companies build custom models on proprietary data and ...

Buzz Hays wants to make sure his colleagues in Hollywood understand the pros and cons of generative AI, in particular, fine-tuning models. “The thing that got us through this project is a process that ...

Tether's QVAC launches the world's first BitNet LoRA framework, enabling billion-parameter AI training on smartphones and ...

Mistral Forge gives enterprises a way to train and adapt AI models on proprietary data, with more control over deployment, ...

Hundreds of billions of dollars are riding on the assumption that artificial intelligence will be reliable enough for ...

Why smaller, domain-trained AI models outperform general-purpose LLMs in enterprise settings.

There's been a lot of excitement about Mira Murati's Thinking Machines Lab (TML) AI startup ever since the former high-ranking OpenAI executive left the company that created the ChatGPT chatbot and ...

Researchers have identified key components in large language models (LLMs) that play a critical role in ensuring these AI ...

AI startup Thinking Machine Labs releases its first-ever product called Tinker and here's what it's all about. In today’s column, I examine a newly announced AI product and service named Tinker that ...