Data Extraction with Large Language Models

Explore data extraction techniques using large language models in this comprehensive 56-minute video from Trelis Research. Learn about JSON and YAML extraction, compare the performance of GPT-4 and GPT-3.5, and discover strategies for handling long contexts. Gain practical insights through demonstrations using Open Chat and analyze the cost-effectiveness of various extraction approaches. Enhance your understanding of challenges in data extraction and find solutions to improve accuracy and efficiency in your projects.

Introduction to Data Extraction with Language Models
Overview of the Video
Challenges in Data Extraction
JSON Extraction and YAML Extraction
Practical Demonstration of Data Extraction Using Open Chat
Comparing GPT 4 and GPT 3.5 for data extraction
Comparing Performance of Different Models
Extracting Data from Long Contexts
Exploring the Cost of Different Data Extraction Approaches
Conclusion and Final Thoughts