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A hands-on introduction to Retrieval-Augmented Generation (RAG)—a powerful technique for improving the accuracy and relevance of LLM outputs. Learn how it works, why it matters, and how to get started, with or without code.
Inspired by Chip Huyen's similarly titled post, this post summarises some of my thoughts on why joining a startup might just be the best decision you could make for your career, and a word of caution for those considering doing just that.
Deploying a Machine Learning (ML) model as a live service to be consumed by a business-critical system or directly by end-users can be a scary prospect. This post looks at how you can perform load testing on your model APIs to ensure they can stand up to even the highest-demand situations.
Flask is a popular 'micro-framework' for building web APIs in Python. However, getting a Flask API 'into production' can be a little tricky for newcomers. This post provides a minimal template project for a Flask API, and gives some tips on how to build out basic production Flask APIs.
This article analyses 30,000 unique Data Science blog posts from the last year to get to the bottom of what the Data Science community has been discussing. This post looks at the most discussed -- and most popular -- technologies of the year.
Data models and data formats are an easily overlooked but critical aspect of modern data infrastructure and development work. This post gives an introduction to HDF5 and how to get started using it in Go.