Picture this: just a few years ago, language models were niche concepts, foreign to many. Fast-forward to 2023, and they’ve taken the world by storm. ChatGPT, the lightning-fast consumer app, has become a household name, reaching far beyond computer science enthusiasts. Language models are no longer an exotic topic but have firmly embedded themselves in our everyday lives.
However, while many embrace language models like ChatGPT, few harness their true potential, especially in the realm of data science. These models offer a unified interface, allowing data analysis via plain English instructions, but effectively leveraging them demands the right tools, understanding model trade-offs, and a glimpse into their inner workings.
Join us on an exciting journey as we delve into the realms of AI-Assisted Data Science, authored by the insightful Immanuel Trummer.
Architecture Modernization presents practices to evolve software, teams, and business strategy to achieve your business’s full potential.
Learn good practices, collaborative tools, and effective techniques for incorporating your key stakeholders into the software design process.
From The Creative Programmer by Wouter Groeneveld
Creativity is essential to being a successful programmer. The stories, examples, and groundbreaking research in this book will help you unleash your creative potential and make you a more successful developer.
Read on for more!
By Christian Clausen
Flexibility is essential for long-lived codebases, however, it comes at a price. It requires effort to maintain flexibility and improperly-implemented flexibility can actually make a codebase harder to maintain. In this article, I show how good flexibility can be extracted from the structure of our code with minimal effort. But before we get into that, let’s discuss what flexibility in a codebase means.
From Machine Learning Engineering in Action by Ben Wilson
Before we get into how successful planning phases for ML projects are undertaken, let’s go through a simulation of the genesis of a typical project at a company that doesn’t have an established or proven process for initiating ML work.
From Operations Anti-Patterns, DevOps Solutions by Jeffery Smith
This article covers
Longer release cycles and their impact to the team’s deployment confidence
Automation techniques for deployments
The value of code deployment artifacts
Feature flags for releasing incomplete code
manning.com On this day… Ulysses S. Grant Lays The Foundations For The Weather Service February 9th 1870 Today in 1870, President Ulysses S. Grant signed a joint declaration of congress establishing a mission to “provide for taking meteorological observations at… Continue Reading →