Definition
The process of adjusting a pre-trained model's internal weights using a specialized dataset to align its latent knowledge, vocabulary, and reasoning patterns with a specific industry or niche. In RAG pipelines, it is often used to improve the model's ability to interpret complex domain-specific queries or format responses according to professional standards.
Adjusting model weights for intuition and style vs. retrieving external documents for factual accuracy (RAG).
"Sending a general practitioner to a 4-year residency to become a specialized neurosurgeon, rather than just giving them a medical manual to browse."
Conceptual Overview
The process of adjusting a pre-trained model's internal weights using a specialized dataset to align its latent knowledge, vocabulary, and reasoning patterns with a specific industry or niche. In RAG pipelines, it is often used to improve the model's ability to interpret complex domain-specific queries or format responses according to professional standards.
Disambiguation
Adjusting model weights for intuition and style vs. retrieving external documents for factual accuracy (RAG).
Visual Analog
Sending a general practitioner to a 4-year residency to become a specialized neurosurgeon, rather than just giving them a medical manual to browse.