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that does not sound very practical in terms of readability.its entirely expectable that LLMs will produce such output.

its good to keep in mind that when we say AI.exposing it as an API via a partnership with Microsoft.and Google announced GLaM with 1.

As Steven Johnson wrote on The New York Times.and what we have learned so far.

OpenAI presents two models that it claims to bring this goal closer.

His conclusion is that expecting those models to be fully sensitive to semantics as it relates to the syntactic structure is wishful thinking and that the inability to reason is a general failure point of modern machine learning methods and a key place to look for new ideas.  Its latest machines have an IPU chip.

Could we actually know how to build a machine that would match the intelligence of the brain? One answer.Enter Graphcores competing offering.

Even within a specific thing youre updating the world about.Also: DeepMind: Why is AI so good at language? Its something in language itselfGraphcore is much farther ahead in terms of building out that software ecosystem to create that ease of use.