Explore techniques and workflows for automating data annotation using Large Language Models (LLMs) in this comprehensive workshop from the LLMs in Production Conference. Dive into practical methods for implementing LLM-driven automation in data annotation processes. Learn how to interpret, validate, and integrate the results into subsequent machine learning pipelines, including model fine-tuning. Gain insights from AI experts Nikolai Liubimov, Michael Malyuk, and Chris Hoge as they share their experiences in Data-centric AI, programmatic labeling, weak supervision, and zero/few-shot learning. Discover how to leverage LLMs and other foundation models to transform businesses into AI-powered enterprises by efficiently capturing and utilizing human signals for model building, refinement, and validation.
Automating Data Annotation with Large Language Models - Workshop 1
Overview
Syllabus
Automating Data Annotation with LLMs // LLMs in Production Conference 3 Workshop1
Taught by
MLOps.community
