
SE Radio 610: Phillip Carter on Observability for Large Language Models
Software Engineering Radio - the podcast for professional software developers
Exploring Large Language Models (LLMs) and Fine-Tuning Process
This chapter delves into the concept of large language models (LLMs) like GPT, explaining their functionality and versatility in tasks like code generation and poetry. It also explores the fine-tuning process, detailing the phases from initial training to specialization and the potential benefits and risks of customizing models for specific tasks.
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