Case study – training an LLM for a specialized domain
Training an LLM for a specialized domain involves a series of intricate steps, meticulous planning, and strategic implementation to ensure the model’s effectiveness in understanding and generating text relevant to the specific field. This process can be dissected into several phases, each of which is crucial for the model’s development and eventual performance. Let’s explore a hypothetical case study that illustrates how an LLM could be trained for a specialized domain, such as medical research:
- Phase 1 – defining the objectives and scope:
- Objective setting: The first step involves clearly defining the objectives of the LLM within the specialized domain. For instance, in the medical research domain, the model could aim to assist in generating medical research papers, interpreting clinical study results, or answering medical inquiries.
- Scope determination: Deciding the scope involves specifying...
