Writing React/Tailwind with LLMs is effortless
If you've experimented with Claude Artifacts or v0.dev, maybe you've been delighted (as I have) that the language model can conjure a UI for an idea you describe. Most of my experience building software, especially professionally, comes from working on the "backend". Building frontend (read: user...
This year included a lot of writing and learning new things.
I've been building an Electron app called "Delta. Delta is a tool for knowledge exploration and ideation through the branching of conversations with language models. I have lots of ideas for how I want to make this idea useful and valuable, but today it looks like this.
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.
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.
I've continued experimenting with techniques to prompt a language model to solve Connections. At a high level, I set out to design an approach to hold the model to a similar standard as a human player, within the restrictions of the game. These standards and guardrails include the following: The...
I've done some experimentation extracting structured data from documents using VLMs. A summary of one approach I've tried can be found in my repo, impulse. I've found using Protobufs to be a relatively effective approach for extracting values from documents. The high-level idea is you write a...
I've been prompting models to output JSON for about as long as I've been using models. Since text-davinci-003, getting valid JSON out of OpenAI's models didn't seem like that big of a challenge, but maybe I wasn't seeing the long tails of misbehavior because I hadn't massively scaled up a use...
In light of OpenAI releasing structured output in the model API, let's move output structuring another level up the stack to the microservice/RPC level.