Go introduced modules several years ago as part of a dependency management system. My Hugo site is still using git submodules to manage its theme. I attempted to migrate to Go's submodules but eventually ran into a snag when trying to deploy the site.
The threading macro in Clojure provides a more readable way to compose functions together. It's a bit like a Bash pipeline. The following function takes a string, splits on a : and trims the whitespace from the result. The threading macro denoted by -> passes the threaded value as the first...
This past week, OpenAI added function calling to their SDK. This addition is exciting because it now incorporates schema as a first-class citizen in making calls to OpenAI chat models. As the example code and naming suggest, you can define a list of functions and schema of the parameters required...
I was interested to learn more about the developer experience of Cloudflare's D1 serverless SQL database offering. I started with this tutorial. Using wrangler you can scaffold a Worker and create a D1 database. The docs were straightforward up until the Write queries within your Worker...
I tried out jsonformer to see how it would perform with some of structured data use cases I've been exploring.
Imagine we have a query to an application that has become slow under load demands. We have several options to remedy this issue. If we settle on using a cache, consider the following failure domain when we design an architecture to determine whether using a cache actually is a good fit for the use...
I've written several posts on using JSON and Pydantic schemas to structure LLM responses. Recently, I've done some work using a similar approach with protobuf message schemas as the data contract. Here's an example to show what that looks like.
Plenty of data is ambiguous without additional description or schema to clarify its meaning. It's easy to come up with structured data that can't easily be interpreted without its accompanying schema. Here's an example:
Code needs structure output
The most popular language model use cases I've seen around have been chatbots agents chat your X use cases
It's necessary to pay attention to the shape of a language model's response when incorporating it as a component in a software application. You can't programmatically tap into the power of a language model if you can't reliably parse its response. In the past, I have mostly used a combination of...