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 😔
I've started posting more on Bluesky and I noticed that articles from my site didn't have social image previews 😔
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.
Language models are more than chatbots - they're tools for thought. The real value lies in using them as intellectual sounding boards to brainstorm, refine and challenge our ideas.
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.
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...
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.
I recently found Joe's article, We All Know AI Can’t Code, Right?.
I had the idea to try and use a language model as a random number generator. I didn't expect it to actually work as a uniform random number generator but was curious to see what the distribution of numbers would look like.
In this notebook, we train two similar neural nets on the classic Titanic dataset using techniques from fastbook chapter 1 and chapter 4.
I use direnv to manage my shell environment for projects. When using a Jupyter notebook within a project, I realized that the environment variables in my .envrc file were not being made available to my notebooks. The following worked for me as a low-effort way to load my environment into the...