Why Full Fine-Tuning Still Matters for Deep Domain Specialization
Download MP3This episode explains how full fine-tuning reshapes internal representations of models for domain-specific tasks like legal or medical AI.
We analyze GPU requirements, training complexity, and benefits such as improved reasoning, reduced hallucination, and better chain-of-thought consistency.
This episode explains how full fine-tuning reshapes internal representations of models for domain-specific tasks like legal or medical AI.
We analyze GPU requirements, training complexity, and benefits such as improved reasoning, reduced hallucination, and better chain-of-thought consistency.
