Or is it AI supercharging Multi-Agent Systems (MAS)? In the fast-evolving world of AI, the challenge of reasoning — how machines can solve problems with deep understanding and adaptability — is becoming more critical. From cutting-edge language models to intelligent agents, the race is on to unlock AI's full potential. At Catio, we've been exploring how AI can transform our processes, and we've placed our bets on MAS to push AI reasoning to the next level.
The Multi-Agent approach to solving problems is seeing a revival lately, but has been around for quite some time and has some very sound theoretical underpinnings. In this article I wanted to provide some fundamentals into the MAS approach, as a precursor to additional articles being planned by my Catio team to expand on the MAS work being done internally.
If you’re a techie like me, and have lived through the evolution of Neural Networks and Machine Learning into Deep Learning in the last couple of decades, you have to admit that we live in magical times!
We are thrilled to announce the recent closing of our oversubscribed Series PreSeed funding round, adding an additional $2.6M to our initial $1.4M raise earlier in 2023. Our funding was led by...