DSPy Tutorial | Build AI Agents with Python (Fundamentals)
Complete introduction to the simplest, most efficient, and yet most powerful way I’ve found to create AI agents, AI workflows, and AI programs in Python. Instead of manual prompting, we use automatic prompt optimization with DSPy and its concept of signatures.
Timestamps / Outline:
00:00 How to Call LLMs from Python, the Simple Way
0:21 Declare Your First AI Program (in 1 LOC)
2:24 Setting Up Your Large Language Model Backend
6:10 Program 2: Processing Images
9:14 Deeper Dive into Signatures
14:01 Program 3: Processing Entities from Paragraphs
19:19 Fetching text from wikipedia with Attachments
20:39 Setting Up a DataFrame
22:22 Apply Gemini Flash lite to each paragraph
23:02 Creating a Synthetic Gold Set
24:35 Quick Baseline Evaluation
25:11 Creating DSPy Examples
25:55 Evaluation Metric
26:10 Prompt Optimization with DSPy
29:10 Final Evaluation
Follow Max:
Twitter: [https://x.com/MaximeRivest](https://x.com/MaximeRivest)
GitHub: [https://github.com/MaximeRivest](https://github.com/MaximeRivest)
Links to Relevant Repositories:
Attachments: [https://github.com/MaximeRivest/attac...](https://github.com/MaximeRivest/attac...)
DSPy: [https://github.com/stanfordnlp/dspy](https://github.com/stanfordnlp/dspy)
FunnyDSPy: [https://github.com/MaximeRivest/funny...](https://github.com/MaximeRivest/funny...)
Docs:
[https://dspy.ai/](https://dspy.ai/)
[https://maximerivest.github.io/attach...](https://maximerivest.github.io/attach...)
If you’re new to my channel, my name is Maxime Rivest. I’m an Applied AI Engineer and Data Engineer. I like to educate people on the best tools in Data Analytics and AI Engineering.
Max
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