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How DSPy Builds Prompts
- Dec 16, 2025
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DSPy is an incredible tool that can be used to prompt LLMs with Python code. But how does it actually work? In today's quick AI tutorial, Bruce Nielson will break down how DSPy builds its unique prompts so you can better use it to improve your AI workloads.
Previously, we showcased DSPy and how it could be used to prompt LLMs like Python code. Today, we'll be showcasing another example to help you really get the hang of how DSPy can benefit your workloads.
Ever wonder if you could communicate with an LLM using code rather than prompts? Thanks to DSPy, an open-source Python framework, you can do just that. This tutorial by Bruce Nielson will walk you through how it works and how to use it.
Gemini 3 posts human‑like reasoning on ARC Prize, moving AI beyond pattern matching toward structured AGI problem solving.
Want to experiment with Gemini-based AI chatbots? In today's AI tutorial by Bruce Nielson, he'll be walking us through how to build a Gemini AI chatbot FOR FREE using n8n.
In today's AI Article by Bruce Nielson, we'll be covering how to install n8n Community Edition on Windows, a foundation for building cost-effective AI workflows.
For the last year, we have been building a library of AI articles designed to help anyone understand and know how to build their own AI systems. One important part of that process has been staying as free and open-source as possible, and in today's AI article we'll be showing you how to set up Node.js in preparation for hosting a free version of n8n.
A concise, provocative guide to Cox's theorem and its claim that probability theory uniquely governs rational reasoning under uncertainty, this article unpacks Jaynes’s desiderata and the derivation that links plausibility to the rules of probability, then traces practical consequences for Bayesian inference, decision theory, and modern machine learning—essential reading for researchers, data scientists, and anyone curious about the foundations of probabilistic reasoning.
In today's blog article, we'll be summarizing how probability acts as an extension of logic rather than as an opponent to it, and why you should care. Be sure to have a look at Part 1 and Part 2 to get a better understanding of how we've gotten to this point.
In our ongoing discussion of how probability is an extension of logic and why you should care, today's Bruce Nielson article brings us an explanation on how to do deductive logic using only probability theory.
