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Is the next frontier in generative AI transforming transformers?
Are transformers the architecture that will lead to better reasoning? And what might come next after transformers?
The next natural step is to package things like multi-step workflows, memory and personalization in the form of agents that can solve use cases in multiple functions including sales and engineering. I recently spoke with an AI leader at a large financial institution who claimed that the future doesn’t belong to software engineers but to creative English/art majors who can draft an effective prompt. Today, there are numerous ways to change models for specific use cases including fine-tuning techniques and newer breakthroughs like direct preference optimization (DPO), an algorithm that can be thought of as an alternative to reinforcement learning with human feedback (RLHF).
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