AI

The last few years have marked a shift in industry away from research-oriented machine learning. These days, shipping models early and often is critical, and open source tools like Prefect can speed up the process of operationalizing ML.

Coming off the 2023 “AI hype cycle”, how should business leaders approach 2024? Learn 5 practical AI strategies every business should consider.

Every time I’m writing complex rules in my code, I remember there’s a machine learning technique for this: Reinforcement Learning. RL models are able to learn the optimal rules given predefined rewards. Read on to learn how!

Most of us got into data science because it’s exciting (if chaotic) and there’s a constant stream of new ideas, which is thrilling (if intimidating). But if learning is all about keeping up, why can’t our models do it?

Real-time ML models continually learn on new data as soon as it arrives, so they’re less susceptible to concept drift and data drift. Read on to learn how to use River and Vowpal Wabbit to build real-time models in Python.

Thinking about using a large language model (LLM) at your organization? Check out this tutorial to see how to bootstrap an MVP using an open source pre-trained model from HuggingFace and a free Ensign account.

A few weeks ago, I’d never used an event stream before. Read on to hear how I built my first event-driven data science app — the biggest challenges, my lessons learned, and a couple of key takeaways!

If you can’t deploy your models, you might feel frustrated, but you aren’t alone — only 1 in 10 data science projects ever gets deployed. The fix? We need to shift our mental model towards “thinking in events.”

Profitable businesses rely on their own data to grow, make smart choices, and delight their customers. Easier said than done! While a batched approach can provided limited success, real-time data analytics often give better ROI.

The release of artificially intelligent tools for public use has spurred a heated debate in the past few years. While AI art was a lark for some and an opportunity to experience gender euphoria for others, to artists it represented stolen …