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Machine learning models are rapidly becoming more capable; how can we make use of these powerful new tools in our Go applications? For top-of-the-line commercial LLMs like ChatGPT, Gemini or Claude, the models are exposed as language agnostic REST APIs. We can hand-craft HTTP requests or use client libraries (SDKs …
Go 1.23 shipped with a new major feature: ranging over functions (also known as "iterators"), per this proposal. This feature is nicely covered in the official Go blog post from August. This article is a rewrite of my older post that described this feature when it was still in …
In this quick post I'll dispel a common confusion in the basic math of complex numbers. It's often useful to calculate the norm-square (also known as absolute square) of a complex number z. This norm-square is denoted |z|^2. One could naively expect that: \[|z|^2=zz\] However, that's false …
Recently I've had to compile Go to WebAssembly to run in the browser in a couple of small projects (#1, #2), and in general spent some time looking at WebAssembly. I find WebAssembly to be an exciting technology, both for the web and for other uses (e.g. with WASI …
This is Part 4 in a series of posts describing the Raft distributed consensus algorithm and its complete implementation in Go. Here is a list of posts in the series: Part 0: Introduction Part 1: Elections Part 2: Commands and log replication Part 3: Persistence and optimizations Part 4: Key …