Building a chess playing agent using DSPy

FS Ndzomga
Thoughts on Machine Learning
2 min readMar 4, 2024

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Photo by Randy Fath on Unsplash

It’s underrated how powerful DSPy can be when you want to create agentic workflows.

And when you add Typed Predictors from @thomasahle and @NormalComputing in the mix, the results are 🔥…

I just built a chess player agent and can watch it play against the stockfish engine. And it’s beautiful.

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FS Ndzomga
Thoughts on Machine Learning

Engineer passionate about data science, startups, product management, philosophy and French literature. Built lycee.ai, discute.co and rimbaud.ai