Introduction to Data Extraction with Language Models
2
Overview of the Video
3
Challenges in Data Extraction
4
JSON Extraction and YAML Extraction
5
Practical Demonstration of Data Extraction Using Open Chat
6
Comparing GPT 4 and GPT 3.5 for data extraction
7
Comparing Performance of Different Models
8
Extracting Data from Long Contexts
9
Exploring the Cost of Different Data Extraction Approaches
10
Conclusion and Final Thoughts
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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.