RECENT ROTATIONS

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.

Over the years, several JavaScript libraries have been created for machine learning. Let’s sort through the ones that can help you get started quickly, even if you don’t have much experience with machine learning or data …

Looking for a middle ground between custom LLMs and traditional ML? Please welcome semantic search to the stage! Let’s use semantic search to predict which film will take home the “Best Picture” Oscar this year 🤩

Each morning, I make the mistake of checking social media before getting out of bed. As I catch up on what’s happening in the world, I often find myself thinking “This too much” all before 8 AM.

If you’re building LLMs but have no way to deploy them, are they even useful? In this post, you’ll deploy an LLM into a live production application!

If you want to protect your IP or avoid vendor lock, you may find that building your own LLM is more practical than relying on services like ChatGPT. In this post, you’ll train a custom LLM using your own data!

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.

2023 was the year of large language models (LLMs) due to services like ChatGPT and Stable Diffusion gaining mainstream attention. In this series, learn about the architecture behind LLMs and how to build your own custom LLM!