Prabir Sen Sarma(@sensprabir) 's Twitter Profileg
Prabir Sen Sarma

@sensprabir

Inventor. Co-founder, Equantz Tech. Decision Science. Cognitive System. Photography.

ID:1221696801876709376

linkhttp://equantz.com calendar_today27-01-2020 07:30:06

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Prabir Sen Sarma(@sensprabir) 's Twitter Profile Photo

once an ad of ITC said: if you don’t know the difference between Monet and Manet, you don’t know the taste of Bukhara

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Prabir Sen Sarma(@sensprabir) 's Twitter Profile Photo

Agree. In addition, there is a vast difference in “words”, meaning” of words and “reasoning and inferencing” of the word between models trained on ‘whole-of-the-Internet’ (WOTI) data and model trained on dedicated industry data.

Case in example, think of retail services. The…

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Warren Bennis warned on business schools way back in 2005. What did B-School do since then? Nothing.

“How Business Schools Lost Their Way”

hbr.org/2005/05/how-bu…

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In my 22 years in technology, I never met anyone who asks this question…this is why academicians and economists are so far removed from the real-world and industry

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all corrupt thug politicians who have been taking bribes from ordinary people and small businesses for their friends and families’ interests and then publicly ridiculing citizens, just because they have the power and then can, must be held accountable.

This is long overdue in…

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Microsoft finds the name to impress stock market. Google searches the technology to impact consumer market.

…clearly MS rolled back to “catch-up” on Google’s AI. …and, presumably, two competitors less

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…agree. Causality and causal inference are the inherent problems in the existing LLM architecture. …not necessary to use back-propagation - highly inefficient

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…one finds some European country is always at the top and some others in top five…..

deeply flawed research without proper report is ingrained in their institutions

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