Month: July 2025

As per plan for building my own language model, the first step is to find a dataset to train the model and then build a tokenizer. Why do we need this? When interacting with an LLM, we typically use natural language – both as input and output. Neural nets though don’t understand words or sentences… Continue reading Building my own language model: Data & Tokenizer (Part 2)

Many of us are using ChatGPT and co. now for a few years. These LLMs are very interesting and fascinating and we can use them for many interesting tasks, the next big thing being agents. But one thing I always wanted to try is building my own language model, all trained on my local machine.… Continue reading Building my own language model: Part 1

To complete the picture, in this blog post we are going to build a hello world ACP application. As with the A2A demonstration, we will also create a simple server and client application to demonstrate the basic programming model with ACP. ACP does a good job in their getting quickstart guide: https://github.com/i-am-bee/acp Server This is… Continue reading ACP Hello World

Let’s explore how A2A works in practice. In this blog post I’m demonstrating the basic usage of A2A, without using any AI. 🙂 Please note, this is a purely technical view, the challenges to build agents are not necessarily technical in nature, nonetheless I hope this post helps to get a basic understanding of A2A.… Continue reading A2A Hello World

Here is a quick overview of the various protocols we hear and read so much recently in the AI space. I don’t intend to go into the details, just a very brief and human readable, objective view. MCP Let’s start with MCP (Model Context Protocol), which I covered in one of my recent blog posts.… Continue reading MCP, ACP, A2A