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1
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
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Comparing GPT 4 and GPT 3.5 for data extraction
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Comparing Performance of Different Models
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Extracting Data from Long Contexts
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Exploring the Cost of Different Data Extraction Approaches
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Conclusion and Final Thoughts
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it 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.

Data Extraction with Large Language Models

Trelis Research
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