Zero Dependency Context Aware Command Line Project Management
Code Agent Optimised Issue Tracker / Zero Dependency Context Aware Command Line Project Management 🤖 + = 🚀 I built a command-line issue tracking system for software development projects.
14 posts tagged “llm”.
Code Agent Optimised Issue Tracker / Zero Dependency Context Aware Command Line Project Management 🤖 + = 🚀 I built a command-line issue tracking system for software development projects.
GitHub Codespaces provides full development environments in your browser, and is free to use with anyone with a GitHub account.
Xeophon suggested that E5-large-v2 as an embedding model that was worth a closer look. It's an interesting model. It's trained to match queries against passages of text.
Facebook's musicgen is a model that generates snippets of audio from a text description - it's effectively a Stable Diffusion for music.
Matt Holt asked: Is there a tool that uses the GitHub API to generate a doc with all release notes from a repo?
I decided to have a poke around and see if I could figure out how the HTTP streaming APIs from the various hosted LLM providers actually worked. Here are my notes so far.
I was reviewing some older PRs and landed this one by Manuel Solorzano adding pricing for o4-mini-deep-research and o3-deep-research to my llm-prices.com site.
I ran a survey on Twitter the other day to try and figure out what people mean when they use the term "agents" with respect to AI.
I've been trying to get my head around ColBERT. ColBERT is a fast and accurate retrieval model, enabling scalable BERT-based search over large text collections in tens of milliseconds.
I've long wanted to run some kind of large language model on my own computer. Now that I have a M2 MacBook Pro I'm even more keen to find interesting ways to keep all of those CPU cores busy.
I like to write the release notes for my projects by hand, but sometimes it can be useful to have some help along the way. Today I figured out this recipe.
I was experimenting with wasmtime-py today and found the current documentation didn't quite give me the information that I needed.
A popular nightmare scenario for AI is giving it access to tools, so it can make API calls and execute its own code and generally break free of the constraints of its initial environment.
WizardLM is "an Instruction-following LLM Using Evol-Instruct". It's a fine-tuned model on top of Meta's LLaMA.