Santiago (@svpino)

Sometimes, you get tired of hearing about agentic this or that, and want to see for yourself what the fuss is about....

How can you build a good understanding of math for machine learning? Here is a complete roadmap for you. In essence, three fields make this up: • Calculus • Linear algebra • Probability theory Let's take a quick look at them! ...

Knowledge graphs are infinitely better than vector search for building the memory of AI agents. With five lines of code, you can build a knowledge graph with your data. When you see the results, you'll never go back to vector-mediocrity-land. Here is a quick video: ...

The Model Context Protocol (MCP) is not just "another API lookalike." If you think, "Bro, these two ideas are the same," it means you still don't get it. Let's start with a traditional API: An API exposes its functionality using a set of fixed and predefined endpoints. For example, /products, /ord...

Here is what many people do when training a model: 1. Transform their dataset 2. Then split it (train, validation, and test sets) 3. Finally, build the model There's a big problem here. Unfortunately, many make this mistake. To understand what happens, let's focus on what we do when transforming ...