20min chapter

Using LLMs for Training Data Preparation with Nihit Desai

Software Engineering Daily

CHAPTER

Fine-Tuning Large Language Models for Data Cleaning and Labeling Tasks

The chapter explores the process of fine-tuning large language models (LLMs) for data cleaning and labeling tasks, explaining the need for a custom model. It discusses tool chains used for transitioning models into production, focusing on periodic training and customer-specific tuning. The impact of LLMs on content generation, challenges in scaling infrastructure, and efforts towards improving model output quality and efficiency are also covered.

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