According to Kalyaev, the search for universal large language models (LLM), which can solve all problems, is a dead end, because in certain areas of professionalism leads to a decrease in professionalism and a lack of practical return. The expert believes that Russia has no financial opportunity for investment in Super LLM and emphasizes this idea and asked practical benefits and possible negative results.
Kalyaev proposes to develop practical LLMs aiming to solve certain important problems without entering the problems of consciousness, ethics, socialization and politicization that emerged with the development of AI everywhere. So, it is necessary to accumulate from the relevance level.
“Attempts to create universal LLM that can solve everything and everything is a dead end. The continuous complication of LLM models, of course, leads to a broader information, but their professionalism in each region will decrease. We cannot invest in a super way, we cannot invest in this issue, because we cannot invest in this issue, we cannot invest in this issue, we cannot invest in this issue, we may not be able to invest in this issue. should focus on the effect ”.
Source: Ferra
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