After the glimmer of hope on day 3 I was quite optimistic for the day 4 puzzle. I kept going with the phind-codellama model. I continued with keeping the model on a fairly tight leash and just being very specific as to what I wanted it to do. What’s the puzzle? So, for the first part, we had to parse a text file and then match up numbers and winning numbers.

My experimentation with LLMs on day 1 and day 2 of Advent of Code was a bit frustrating. For the day 3 puzzle, I decided to change model. Previously I had been using the codellama:13b model but wasn’t really happy. I kept arguing with it and it just frustrated me. So let’s try some others. codellama:34b So I thought maybe the model just wasn’t big enough, so off we went

After day 1 of Advent of Code was only partially successful, I thought I would change my approach. Yesterday I tried to get the LLM to develop the whole solution in one go. But that was more like argumentative programming rather than conversational programming, so for the day 2 puzzle I start with small problems and hope to put it all together at the end. Let’s get started The problem looked quite straightforward, parse something like the following

So it is that time of the year again. Advent of Code is back. Yey! This means I get to try to look at a new language again. This time, why not Kotlin? But as an extra challenge, I thought why not see how the vaunted LLMs would help. Is AI really the accelerator that would elevate a mere developer to a rockstar ninja (whatever that is)? I have to add that I am a bit of an AI sceptic and keep saying that