Large Language Models (LLMs) have been making waves lately. These large / small / fine-tuned models can do all sorts of tasks, just by asking them nicely. But guess what? There’s a new kid on the block: #compound #AI systems. They’re like supercharged versions of LLMs, made up of lots of different parts working together.
Picture AI as a big toolbox. LLMs are like the shiny new wrench everyone’s talking about, but compound AI systems are like having the whole toolbox at your disposal. Instead of relying on just one tool, developers are using lots of different tools to build smarter AI systems.
Why is everyone so excited about compound AI systems? Well, imagine you’re planning a road trip. With just one map app, you might only get directions from point A to point B. But with a whole suite of navigation tools, you can not only find the fastest route, but also discover cool attractions along the way, avoid traffic jams, and even get recommendations for the best places to eat.
The best part? Compound AI systems are super adaptable. They can learn new things on the fly, just like you can learn a new dance move at a party. And they’re way more reliable too, because they have lots of built-in checks and balances to make sure they’re always doing the right thing.
But building these fancy AI systems isn’t easy. It’s like trying to build a spaceship with a bunch of Lego pieces – you’ve got to figure out which pieces go where and how to make them all fit together just right.
Luckily, lots of smart people are working on it, and they’re coming up with all sorts of cool tricks to make it easier. With compound AI systems, the possibilities are endless. Who knows what amazing things we’ll be able to build next?
About the author
Gopalakrishna Kuppuswamy is dedicated to driving innovative solutions around AI and Decision Intelligence at Cognida.ai.
