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.
Today I Learned
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...
Practical Deep Learning, Lesson 4, Language Model Blog Post Imitator
In this notebook/post, we're going to be using the markdown content from my blog to try a language model. From this, we'll attempt to prompt the model to generate a post for a topic I might write about.
Practical Deep Learning, Lesson 3, Stochastic Gradient Descent on the Titanic Dataset
In this notebook, we train two similar neural nets on the classic Titanic dataset using techniques from fastbook chapter 1 and chapter 4.