Category/Tag: Tutorials

How DSPy Builds Prompts

How DSPy Builds Prompts

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.

DSPy: A Powerful (But Sometimes Dangerous) Prompting Tool

DSPy: A Powerful (But Sometimes Dangerous) Prompting Tool

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.

DSPy: Prompt your LLM Like It's Code

DSPy: Prompt your LLM Like It's Code

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.

AI Tutorial: Build a Free Gemini AI Chat Agent with n8n

AI Tutorial: Build a Free Gemini AI Chat Agent with n8n

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.

AI Tutorial: Installing n8n Self Hosted Community Edition

AI Tutorial: Installing n8n Self Hosted Community Edition

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.

How to Install Node.js (for Windows)

How to Install Node.js (for Windows)

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.

Cox's Theorem: Is Probability Theory Universal?

Cox's Theorem: Is Probability Theory Universal?

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.

From Certainty to Belief: How Probability Extends Logic - Part 3

From Certainty to Belief: How Probability Extends Logic - Part 3

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.

From Certainty to Belief: How Probability Extends Logic - Part 2

From Certainty to Belief: How Probability Extends Logic - Part 2

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.

From Certainty to Belief: How Probability Extends Logic - Part 1

From Certainty to Belief: How Probability Extends Logic - Part 1

Some may be quick to assume that logic and probability are opposites, when in fact, one could consider probability an extension of logic. In today's article by Bruce Nielson, we'll be showcasing how this is so, and why it matters to you.