Using Python to Search and Analyze Text in Library of Babel with GPT

Explore the fascinating world of computational linguistics and artificial intelligence in this 26-minute tutorial video. Learn how to recreate a portion of the Library of Babel, search for meaningful sentences within it, and leverage GPT-4 to extract significant text. Dive into various natural language processing techniques, including spaCy, NLTK, and dictionary-based approaches. Discover how to generate and analyze vast amounts of text, consider token usage, and fine-tune detection methods. Gain hands-on experience with OpenAI's GPT-4 API and compare results with Mixtral 8x7b. Perfect for Python enthusiasts and AI enthusiasts looking to enhance their skills in text generation and analysis.

Intro
Simple test case
Full video and Live stream
Token considerations
Generating the library
finding meaningful sentences
Testing spacy
testing nltk
testing dictionary approach
checking for meaningful words
adjusting detection
Testing GPT call
testing Mixtral 8x7b