22.03.2022
Chasing the wrong benchmarks in Machine Learning - How it will fail in production
AI Startup Rising is launching its AI Academy with a talk by Nils Reimers, NLP researcher at Hugging Face on March 22, 2022 at 5pm. He will present his view on chasing wrong benchmarks in ML and how they will fail in production.
Nils Reimers is a NLP researcher at Hugging Face and his research focus is on representation learning & neural search. During his post-doc at the UKP Lab at TU Darmstadt, he authored Sentence-BERT, which later resulted in the popular sentence-transformers library that allows to compute state-of-the-art text and image embeddings. In his research, he focuses on making text embeddings & neural search more widely accessible with a focus on domain adaptation und multilinguality. In May 2021, Nils joined Hugging Face to lead the research team on Neural Search where he focusses on how to adapt neural search models to new domains without the availability of labeled data. Nils has authored several popular papers on how to evaluate machine learning models and the pitfalls that can happen there. In his well-received medium.com article early this year he investigated how well GPT-3 based embeddings would work and if they really are a new state of art.
Nils Reimers is a NLP researcher at Hugging Face and his research focus is on representation learning & neural search. During his post-doc at the UKP Lab at TU Darmstadt, he authored Sentence-BERT, which later resulted in the popular sentence-transformers library that allows to compute state-of-the-art text and image embeddings. In his research, he focuses on making text embeddings & neural search more widely accessible with a focus on domain adaptation und multilinguality. In May 2021, Nils joined Hugging Face to lead the research team on Neural Search where he focusses on how to adapt neural search models to new domains without the availability of labeled data. Nils has authored several popular papers on how to evaluate machine learning models and the pitfalls that can happen there. In his well-received medium.com article early this year he investigated how well GPT-3 based embeddings would work and if they really are a new state of art.
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