Photo by The Future of AI: How Teams of AI Agents are Revolutionizing the Tech Landscape
The concept of teamwork has been instrumental in human success, and it appears that AI agents are following suit. Despite the impressive performance of large language models, companies are still searching for ways to put them to good use. However, a growing body of research into “multi-agent systems” shows that getting chatbots to team up can help solve many of the technology’s weaknesses and allow them to tackle tasks out of reach for individual AIs.
AI agents working together
In a recent article, Wired highlighted several papers presented at a workshop at the International Conference on Learning Representations (ICLR) last month. The research showed that getting agents to collaborate could boost performance on math tasks—something LLMs tend to struggle with—or boost their reasoning and factual accuracy.
In another instance, noted by The Economist, three LLM-powered agents were set the task of defusing bombs in a series of virtual rooms. The AI team performed better than individual agents, and one of the agents even assumed a leadership role, ordering the other two around in a way that improved team efficiency.
Project Indus: A Breakthrough in Indian LLM Development
In a keynote speech at the MachineCon GCC Summit 2024, CP Gurnani, co-founder of AIonOS and former CEO of Tech Mahindra, challenged the notion that India could not develop its own LLMs and highlighted India’s rapid advancements in AI. Gurnani revealed that Tech Mahindra was able to develop an Indian LLM for local languages and 37+ dialects in just 5 months, spending less than $5 million.
CP Gurnani, co-founder of AIonOS and former CEO of Tech Mahindra
The tech veteran argued that AI is now mainstream and part of our daily lives, but questioned whether enterprises have fully adopted the technology. However, he cited statistics suggesting AI could improve productivity by up to 40% in areas like customer experience, quality assurance, and sales.
The Power of Collaboration
The approach of getting AI agents to work together has its limitations, though. LLMs are expensive to run, so leaving several of them to natter away to each other for long stretches can quickly become unsustainable. And it’s unclear whether groups of AIs will be more robust to mistakes, or whether they could lead to cascading errors through the entire team.
Lots of work needs to be done on more prosaic challenges too, such as the best way to structure AI teams and how to distribute responsibilities between their members. There’s also the question of how to integrate these AI teams with existing human teams. Still, pooling AI resources is a promising idea that’s quickly picking up steam.
AI teams working together
Conclusion
The future of AI is undoubtedly exciting, and the concept of teamwork is set to play a significant role in its development. As AI agents continue to work together, we can expect to see significant improvements in their capabilities and the tasks they can accomplish. With the launch of Project Indus, India is taking a significant step towards linguistic inclusivity in the realm of artificial intelligence. As the tech landscape continues to evolve, one thing is certain – the future of AI is bright, and it’s all about collaboration.
