Adrian Łańcucki

Adrian Łańcucki is a senior engineer at NVIDIA, where he optimizes the performance of LLMs and conducts research on representation learning, unsupervised segmentation, and generative modeling for text and speech. He is the author of FastPitch, a widely adopted text-to-speech model that significantly accelerated speech synthesis research. In 2019, Adrian obtained a Ph.D. in machine learning from the University of Wroclaw, Poland, and he has since actively collaborated with academia.
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Posts by Adrian Łańcucki

Three icons, with text LLMs, Optimize, Deploy.
Generative AI

Dynamic Memory Compression

Despite the success of large language models (LLMs) as general-purpose AI tools, their high demand for computational resources make their deployment challenging... 9 MIN READ
An image representing fast diffusion TTS.
Conversational AI

Speeding Up Text-To-Speech Diffusion Models by Distillation

Every year, as part of their coursework, students from the University of Warsaw, Poland get to work under the supervision of engineers from the NVIDIA Warsaw... 7 MIN READ