Large Language Models for Python Specialists
summary
Demonstrates how large language models (ChatGPT, Gemini, Claude, Microsoft/GitHub Copilot) can automate data processing for Python engineers, covering features like Advanced Data Analysis, function calling, named-entity recognition, GPTs, embeddings, and retrieval-augmented generation. Presents the Semantic Kernel library and its use with vector databases and chat copilots to integrate LLM capabilities into data workflows.
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chapters (17)
- 0:00Intro
- 2:09Large Language Models - What They Are
- 5:49ChatGPT
- 6:12Gemini
- 6:24Microsoft Copilot
- 7:01GitHub Copilot
- 7:32Claude
- 8:34ChatGPT Advanced Data Analysis
- 18:52Function Calling
- 22:25Named Entity Recognition
- 25:02GPTs
- 29:22Retrieval Augmented Generation
- 30:41Embeddings
- 33:31Chat Copilot
- 34:51Semantic Kernel
- 37:33Vector databases
- 40:11Q&A
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