Claude Citations
Today, Anthropic released Citations for Claude.
Today I Learned
Taking Browser Screenshots with Deno
Today, I needed to turn SVGs into PNGs. I decided to use Deno to do it. Some cursory searching showed Puppeteer should be up to the task. I also found deno-puppeteer which seemed like it would provide a reasonable way to make this work.
Local VLMs Have Improved
About 6 months ago, I experimented with running a few different multi-modal (vision) language models on my Macbook. At the time, the results weren't so great.
Calling Deepseek with `llm` using OpenAI Compatible APIs
Deepseek V3 was recently released: a cheap, reliable, supposedly GPT-4 class model.
Intro to Astro
I'm aiming to setup a space for more interactive UX experiments. My current Hugo blog has held up well with my scale of content but doesn't play nicely with modern Javascript frameworks, where most of the open source energy is currently invested.
Practical Deep Learning, Lesson 7, Movie Recommendations
In this notebook, we'll use the MovieLens 10M dataset and collaborative filtering to create a movie recommendation model. We'll use the data from movies.dat and ratings.dat to create embeddings that will help us predict ratings for movies I haven't watched yet.
Hugo Social Image Previews
I've started posting more on Bluesky and I noticed that articles from my site didn't have social image previews 😔
Embeddings Clustering
I explored how embeddings cluster by visualizing LLM-generated words across different categories. The visualizations helped build intuition about how these embeddings relate to each other in vector space. Most of the code was generated using Sonnet.
Add Alt Text to an Image with an LLM and Cursor
Using Cursor, we can easily get a first pass at creating alt text for an image using a language model. It's quite straightforward using a multi-modal model/prompt. For this example, we'll use claude-3-5-sonnet-20241022.
Practical Deep Learning, Lesson 5, Pricing Iowa Houses with Random Forests
Having completed lesson 5 of the FastAI course, I prompted Claude to give me some good datasets upon which to train a random forest model. This housing dataset from Kaggle seemed like a nice option, so I decided to give it a try. I am also going to try something that Jeremy Howard recommended for...