Nature-Inspired Machine Learning (NIMI)

Research Associate

Nature-Inspired Machine Learning (NIMI)

Preetam, a researcher at the ScadDS.AI center, focuses on investigating the factual accuracy of large language models. His research is uniquely centered on human and mind-inspired intelligence to refine the precision of these language models. Within the dynamic landscape of artificial intelligence, Preetam’s work contributes to the advancement of understanding and improving the accuracy of language models.


Preetam Gattogi

Research Associate

Nature-Inspired Machine Learning (NIMI)

Preetam, a researcher at the ScadDS.AI center, focuses on investigating the factual accuracy of large language models. His research is uniquely centered on human and mind-inspired intelligence to refine the precision of these language models. Within the dynamic landscape of artificial intelligence, Preetam’s work contributes to the advancement of understanding and improving the accuracy of language models.


Research Associate

Nature-Inspired Machine Learning (NIMI)

Preetam, a researcher at the ScadDS.AI center, focuses on investigating the factual accuracy of large language models. His research is uniquely centered on human and mind-inspired intelligence to refine the precision of these language models. Within the dynamic landscape of artificial intelligence, Preetam’s work contributes to the advancement of understanding and improving the accuracy of language models.


Publications

Research Associate

Nature-Inspired Machine Learning (NIMI)

Preetam, a researcher at the ScadDS.AI center, focuses on investigating the factual accuracy of large language models. His research is uniquely centered on human and mind-inspired intelligence to refine the precision of these language models. Within the dynamic landscape of artificial intelligence, Preetam’s work contributes to the advancement of understanding and improving the accuracy of language models.


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