I spent some time experimenting with multi-modal model (also called vision models on the ollama site) to see how they perform. You try these out with the CLI ollama run <model> but I opted to use the ollama Python client.
One of my favorite things to do with language models is to use them to write code. I've been wanting to build a variation on tic-tac-toe involving a bit of game theory. I called it "Tactic". I wasn't even really sure if the game would be any more interesting than tic-tac-toe itself, which reliably...
Model-based aggregators
I completed Barbara Oakley's "Learning How to Learn" course on Coursera. The target audience seems to be students, but I found there were helpful takeaways for me as well, as someone who is a decade out of my last university classroom.
I've been using Pocket for a long time to keep track of things on the web that I want to read later. I save articles on my mobile or from my browser, then revisit them, usually on my desktop. Some articles I get to quickly. Others remain in the stack for a long time and can become...
Generative AI and language models are fun to play with but you don't really have something you can confidently ship to users until you test what you've built.
Similar to (and perhaps more simply than) analyzing Youtube video transcripts with language models, I wanted to apply a similar approach to webpages like articles, primarily for the purposes of determining the subject content of lengthy pieces and experimenting to see if this is useful at all.
You can download a Youtube video transcript with yt-dlp.
The following prompt seems to be quite effective at leaking any pre-prompting done to a language model
Temporal gives you flexibility to define different task queues to route workflows and activities to specific workers. When a worker starts up, it is configured to consume from a specific task queue by name, along with the activities and workflows it is capable of running.