LEARNER · GLOBAL
What is fine-tuning for large language models?
Fine-tuning is the process of further training a pre-existing large language model (LLM) on a smaller, specific dataset to adapt it for a particular task or domain, such as financial report analysis or specialized customer support. It makes a general model highly specialized.
WHY IT MATTERS
Allows financial institutions to customize powerful general AI models for their unique internal data and operations, improving accuracy and relevance.
Source: Google DeepMind · 2026-05-18