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Fine-tuning

Concept

Fine-tuning further trains a pre-trained model on additional data; for keeping AI answers current with company data it is often compared with retrieval-augmented generation.

✦ CONCEPTFine-tuningM365.FM
Title graphic: Fine-tuning (Concept)
TypeConcept
Wikipediaen.wikipedia.org/wiki/Fine-tuning_(deep_learning)

Episodes about Fine-tuning

Automated Red Teaming for Multi-Model AI in Finance

2026-05-11 · Video on YouTube

In this episode of the m365.fm podcast, Mirko Peters explores why traditional AI security testing is no longer enough in modern enterprise environments. The discussion focuses on “red teaming” for multi-model AI systems, especially in highly regulated…

RAG on Azure — Simply Explained

2026-07-16 · Video on YouTube

Retrieval-Augmented Generation (RAG) is one of the most important techniques behind modern AI applications, enabling large language models to answer questions using your own business data instead of relying only on their training knowledge. In this episode of…

Small Language Models for Faster, Cheaper Enterprise AI

2026-06-09 · Video on YouTube

Small Language Models (SLMs) are emerging as one of the most important developments in enterprise AI. While Large Language Models (LLMs) power tools like Microsoft Copilot with impressive reasoning and language capabilities, they also introduce challenges…

2026-05-11 – Automated Red Teaming for Multi-Model AI in Finance2026-06-09 – Small Language Models for Faster, Cheaper Enterprise AI2026-07-16 – RAG on Azure — Simply Explained2026-052026-07
Timeline of episodes about Fine-tuning

Articles about Fine-tuning (4)

Glossary

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Sources

Maintained by Mirko Peters (Microsoft MVP) · Last updated: