The Ledger
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Goshen: Scaling LLM size is already showing diminishing returns
“And we're already start seeing diminishing returns. I mean, you take the architecture, you increase the size of the models or, and you see that At these levels of scale where, you know, we are dealing with things, diminishing returns, we start seeing it.”
Goshen: The future of artificial intelligence will be neuro-symbolic
“The future is going to be neuro symbolic.”
Goshen: In two years, focus will shift from LLMs to multi-model AI systems
“In two years from now, I guess we won't be excited and we won't be speaking about large language models. We'll be speaking about AI systems that use maybe several language models and they orchestrate this solution problem solution in such a way that is more re…”
Goshen: Enterprise AI will not be a winner-take-all market
“I don't think it's a winner take all kind of market. And I don't think it's a single approach that will be a winner here.”
Goshen: Deep learning is necessary but not sufficient for reliable AI
“Deep learning is, is amazing. And with that said, it's necessary, but not sufficient component.”
Goshen: 95% of enterprise AI use cases are task-specific
“95% of the use cases in the enterprise are actually pretty specific.”
Goshen: Chat interfaces are not optimal for consuming and producing information
“And it's not delivered in a chat interface. And we did it deliberately because we haven't, we don't think chat interface is definitely the most optimal way to consume and kind of produce information.”
Goshen: Enterprise generative AI will see production rollouts in six months
“I think in, in six months, we'll see gradual rollouts to production for many use cases.”