Future of AI: Perspectives for SMB's

AI systems that combine multiple LLMs and other  tools offer a compelling solution. These systems  allow for better cost and compute management  by intelligently routing tasks to the most suitable resources. For example, a smaller LLM could act as a “router,” directing tasks to specialized LLMs or tools for optimal efficiency. These systems can also enhance reliability and quality by incorporating checks and balances during the computation.

But as you apply these AI systems to real-world problems, you should approach this wisely.  My common advice to AI startup leaders is to strive  for “product-algo” fit. What I mean by that is while  AI systems will be a dramatic improvement over barebones LLMs in terms of reliability and efficiency, they will still be imperfect; the underlying uncertainty involved in LLM calls, search and retrieval will  not completely go away. So as an entrepreneur  creating a new product, understand the strengths  and weaknesses of the technology, and craft that product in a way that leverages their strengths and compensates for their imperfections. This is what  I call “product-algo fit”.