Yesterday was my first day back in the world of entrepreneurship. After seventeen wonderful years at Automattic, I resigned last Friday to begin this new chapter. During my time there, I helped grow the company from twenty to almost two thousand people through significant engineering and product development roles. I m grateful for every moment of [ ]
Using a traditional REST API works well for many applications, but they have serious limitations when it comes to AI agents. Responses from large language models take time to generate, often several seconds. If you request a response and wait synchronously, your users are left staring at loading indicators. WebSockets are an option, but they re [ ]
When building AI agents you ll notice something frustrating, they forget everything as soon as the conversation ends. This is obviously not ideal, and it s where vector storage comes in. I m going to share how you can implement a practical, persistent memory system for your agents. The Memory Problem When building agents it makes sense to [ ]
If you ve been working with large language models (LLMs) for some time you ve probably noticed how quickly we re moving beyond simple chat interfaces. The real power comes when you can orchestrate LLMs to work with external tools, maintain context, and perform complex tasks. I ve been building these kinds of AI agents for a while now, [ ]
This post is the final part of: A simple guide to local LLM fine-tuning on a Mac with MLX. This part of the guide assumes you have completed the fine-tuning process and have an adapters.npz file ready to use. If that s not the case check our Part 3: Fine-tuning your LLM using the MLX framework. [ ]
This post is the third of four parts of: A simple guide to local LLM fine-tuning on a Mac with MLX. This part of the guide assumes you have training data available to fine-tune with. The data should be in JSONL format. If that’s not the case then check out Part 2: Building your training data [ ]
This post is the second of four parts of: A simple guide to local LLM fine-tuning on a Mac with MLX. This part of the guide assumes you have your environment with Python and Pip all set up correctly. If that s not the case then start with the first step. If you already have fine-tuning [ ]
This post is the first of five parts of: A simple guide to local LLM fine-tuning on a Mac with MLX. If you re starting on this journey from scratch, you ll need to set a few things up on your Mac in order to get going. If you have Python and Pip ready to go, you [ ]
Hello there! Are you looking to fine-tune a large language model (LLM) on your Apple silicon Mac? If so, you re in the right place. Let s walk through the process of fine-tuning step-by-step. It won t cost you a penny because we re going to do it all on your own hardware using Apple s MLX framework. Once we re [ ]
My wife and I are starting to look at houses for sale in our area. There is a wonderful site called Zealty that shares an incredible amount of data, including sales prices, history, and assessed values. It s invaluable for making an informed decision around what is typically the biggest purchase of your life. We ve been [ ]