AI

Why is everyone so excited by AI? Chatting with a bot isn’t the game changer. Instead, AI represents a new method of interacting with complex computing resources and data – one that is far more accessible than previous methods.

Over the past few years Atlanta’s tech scene has grown at a rapid pace. There was no better place for proof of this than at RenderATL 2024.

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!

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.

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!

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.

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.

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!