How to build a text-to-sql LLM application
As industry races for use cases of Large Language Models, software devs have emerged as early adopters. Can LLMs help us translate between tech and talk? Let’s build a text-to-SQL application with Vanna and Streamlit!
Jun 7, 2024To LLM or Not to LLM (Part 2): Starting Simple
Sick of hearing about hyped up AI solutions that sound like hot air? 🧐 Let’s use boring old ML to detect hype in AI marketing text and see why starting with a simple ML approach is still your best bet 90% of the time.
May 20, 2024Building an AI Text Detector - Lessons Learned
The LLMs boom has made differentiating text written by a person vs. generated by AI a highly desired technology. In this post, I’ll attempt to build an AI text detector from scratch!
May 15, 2024To LLM or Not to LLM: Tips for Responsible Innovation
We’re seeing a proliferation of Large Language Models (LLMs) as companies seek to replicate OpenAI’s success. In this post, two AI engineers respond to LLM FAQs and offer tips for responsible innovation.
May 8, 2024How to Plan and Scope LLM Projects
Move over ChatGPT, here come the Large Language Models (LLMs). More and more companies are incorporating LLMs into their operations. Are you ready? Here’s the guide to how Rotational plans and scopes our LLM projects.
Feb 1, 2024Monitoring Real-Time Machine Learning Applications With Prefect
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.
Jan 26, 2024Practical AI Strategies for 2024
Coming off the 2023 “AI hype cycle”, how should business leaders approach 2024? Learn 5 practical AI strategies every business should consider.
Jan 15, 2024Reinforcement Learning, Automation... and Tetris
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!
Nov 2, 2023What is Incremental Machine Learning?
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?
Aug 21, 2023Using River and Vowpal Wabbit to Build Real-Time Machine Learning Models
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.
Aug 11, 2023