Complete DSPy Tutorial - Master LLM Prompt Programming in 8 amazing examples!

In this video, we talk about Stanford NLP's DSPy - a new LLM Programming framework that helps with prompting, bootstrapping, optimizing, and fine-tuning Language Models. We go through 8 examples that step by step explain the major concepts behind DSPy and how to build really complex LLM programs with just a few lines of code! Let's build programs with both LLMs (like ChatGPT, Mixtral, Gemini, LLama-3) as well as local models (like T5, LLama, GPT-1 etc)!

#ai #promptengineering #python

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Around 7:00, there used to be a clip from the world cup 2014 finals, but I removed it because FIFA wanted to copyright it lol.

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Links:
DSPy Page: https://dspy-docs.vercel.app/docs/intro
How to Setup DSPy: https://github.com/stanfordnlp/dspy?t...
Intro DSPy Notebook: https://github.com/stanfordnlp/dspy/b...

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Timestamps:
0:00 - Intro
0:47 - Prompt Programming vs Engineering
3:14 - Example 1 - Basic QA
6:20 - Example 2 - Chain of Thought
11:43 - Example 3 - Predicting floats, bools, JSON
14:14 - Example 4 - Retrieval Augmented Generation (RAG)
17:49 - Example 5 - Multi Hop
20:33 - Example 6 - Optimizers and Few Shot Prompts
23:54 - Example 6b - Assert and Suggest
25:46 - Example 7 - Generating Datasets
27:35 - Example 8 - Finetune a T5 model with ChatGPT
33:45 - Outro