Generative AI analysis technique
We’re at a vital juncture within the Generative AI adoption journey, the place now we have began listening to conflicting views concerning the transformative potential of Gen AI.
Massive language mannequin (LLM) suppliers, e.g., Open AI, Mistral, Google, Meta, and many others. are rolling out one LLM after one other — with each iteration smaller and extra environment friendly than the earlier one. However these are generic pre-trained LLMs and not using a clear enterprise use-case in thoughts, or let’s say the enterprise particular use-cases nonetheless have to be developed on prime of those foundational LLMs. So these LLMs are solely an enabler and never a measure of enterprise impression by any means. We do after all have the hyperscalers and expertise distributors touting the a whole bunch (or hundreds) of LLM-based use-cases that they’ve already carried out with quantified enterprise worth.
Alternatively, we’re seeing enterprises / consultants begin to take a extra “pessimistic” view on Gen AI. For instance, the current report by Goldman Sachs is a working example. The title Gen AI: An excessive amount of Spend, Too little Profit? is self-explanatory and I received’t go into element—suffice it to say that whereas no person is dismissing the longer term potential of Gen AI, they aren’t seeing Gen AI (as of now) clear up any complicated…