Dima Rekesh

Dima Rekesh is an applied researcher at NVIDIA who works on long context language models. He holds an M.S. in physics and applied math from the Moscow Institute of Physics and Technology and a Ph.D. in physics from Arizona State University.
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Posts by Dima Rekesh

Generative AI

Introducing the Nemotron-H Reasoning Model Family: Throughput Gains Without Compromise

As large language models increasingly take on reasoning-intensive tasks in areas like math and science, their output lengths are getting significantly... 7 MIN READ
Conversational AI

Multilingual and Code-Switched Automatic Speech Recognition with NVIDIA NeMo

Multilingual automatic speech recognition (ASR) models have gained significant interest because of their ability to transcribe speech in more than one language.... 7 MIN READ