One of the most exciting areas of LLM-related development in 2023 is the availability of powerful (and sometimes even open-source) models we can run locally on our machines. Several tools exist that make it relatively easy to obtain, run and manage such models locally; for exampl...
#485 — November 21, 2023 Unsub | Web Version Go Weekly River: A Fast, Robust Job Queue for Go + Postgres — A new beta, open-source job queue “for building fast, airtight applications” that’s written in Go and takes advan...
#484 — November 14, 2023 Unsub | Web Version Go Weekly Fourteen Years of Go — Russ recaps a productive year for Go that included the introduction of profile-guided optimization (PGO), enhanced coverage profiles to improve testin...
Describes a simple Markov chain algorithm to generate reasonable-sounding but utterly nonsensical text, and presents some example outputs as well as a Python implementation.
I've been reading more and more about LLM-based applications recently, itching to build something useful as a learning experience. In this post, I want to share a Retrieval Augmented Generation (RAG) system I've built in 100% Go and some insights I learned along the way. Some li...
Happy Birthday, Go!
In this post we're going to talk about how (and why!) different types of function parameters behave differently in Go. If you're new (or even not-so-new) to Go, this can be a common source of confusion and questions. Why do functions generally mutate maps and slices, but not o...
In the second part of this series on career skills for software engineers, we’ll look at how to deal with that trickiest of species: human beings.