New approach flips the script on enterprise AI adoption by using input data you already have for fine-tuning instead of needing labelled data.

This article explores four key methods—prompting LLMs, building retrieval-augmented generation (RAG) systems, fine-tuning LLMs and developing AI agents—and evaluates their role in shaping the ...

It also provides a user interface (UI) for getting stakeholder feedback. Mosaic AI Model Training is used for fine-tuning open source foundation models with an organization’s private data.