Hello! I’m Daniel, a Software Engineer based in Edinburgh. This is where I note down useful things I don’t want to forget and also where I document some of the personal projects I’ve worked on.
Blog Posts
Running Large Language Models locally
The easiest way to get started with Large Language Models (LLMs) like GPT-4 is to use the OpenAI API or Azure OpenAI. However, since the LLaMA leak a variety of LLMs have been created that can be hosted locally. I was interested to see what it would take to do this and what tools are available.
Steam Deck setup
I caved and finally bought a Steam Deck. The internet was full of guides to upgrade and modify it so I’m documenting some of the things I’ve tried here.
Logitech K380 keyboard: Page Up/Down/Home/End workarounds
After years of using a full size (and very old) Apple USB keyboard for my Mac, I recently bought a Logitech K380 bluetooth keyboard to try something smaller that would take up less space on the desk. It’s reasonably cheap (around £35), offered support for Mac and PC layouts and can pair with up to 3 devices at once. I bought an MX Master mouse years ago which has been fantastic, so I thought I should try a Logitech keyboard to see how they compare.
Issues with floating point
Floating point values normally just work, but there are a few issues with them that are useful to be aware of! My previous post discussed the representation of values, but this one will talk more about the times where things might not work quite as expected. I’m aiming for this to be a practical guide with some simple rules to follow, rather than an exhaustive study into all the issues with floating point.
Floating point numbers: some basics
A recent discussion with a colleague about issues with floating point comparisons made me realise that my knowledge of best practices boiled down to comparing floating point values using tolerances and switching to double
if issues with accuracy popped up. I figured it was time to look into it further and get a better understanding of what is actually going on.
Python collection classes: a summary
Following on from the C++ collections post, it’s time to create a similar overview page for Python! There are more collection classes than this, but I wanted to revise the basics.
C++ collection classes: a summary
As I work through a bunch of algorithm problems in C++, I thought it would be useful to create a summary of the collection classes built into the standard library.
Thoughtworks Technology Radar Vol. 19: Notes
I spent a little time over the New Year catching up on some reading, giving me an opportunity to skim through the 2018 ThoughtWorks Technology Radar to get an overview of interesting developments in the field. Here are some of the things that caught my eye.
Running a Code Jam
Recently, a number of teams at work have started to make use of Docker. To improve our Docker knowledge across the company, we organised a Code Jam. We’ve run a number of these events in the past and, after some experimentation, we’ve settled on a format that seems to work well for us.
Docker Cheat Sheet
I’ve been playing with Docker recently, but not enough that I always remember the commands. Here’s my cheat sheet for future Docker use.