Nils Reimers: Sentence Transformers, Search, Future of NLP | Learning from Machine Learning #3

Nils Reimers: Sentence Transformers, Search, Future of NLP | Learning from Machine Learning #3

This episode welcomes Nils Reimers, Director of Machine Learning at Cohere and former research at Hugging Face, to discuss Natural Language Processing, Sentence Transformers and the future of Machine Learning. Nils is best known as the creator of Sentence Transformers, a powerful framework for generating high-quality sentence embeddings that has become increasingly popular in the ML community with over 9K stars on Github. With Sentence Transformers, Nils has enabled researchers and developers (including me) to train state-of-the-art models for a wide range of NLP tasks, including text classification, semantic similarity, and question-answering. His contributions have been recognized by numerous awards and publications in top-tier conferences and journals.

Resources to learn more about Nils Reimers and his work:

https://www.nils-reimers.de/

https://www.sbert.net/

https://scholar.google.com/citations?...

https://cohere.ai/

Resources to learn more about Learning from Machine Learning:

https://www.linkedin.com/company/learning-from-machine-learning

https://www.linkedin.com/in/sethplevine/

https://medium.com/@levine.seth.p

Youtube Clips

02:29 What attracted you to Machine Learning?

06:32 What is sentence transformers?

28:02 Benchmarks and P-Hacking

33:53 What’s an important question that remains unanswered in Machine Learning?

38:41 How do you view the gap between the hype and the reality in Machine Learning?

50:45 What advice would you give to someone just starting out?

52:30 What advice would you give yourself when you were just starting out in your career?

57:22 What has a career in ML taught you about life?

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Avsnitt(14)

Dan Bricklin: Lessons from Building the First Killer App | Learning from Machine Learning #14

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On this episode of Learning from Machine Learning, I had the pleasure of speaking with Dan Bricklin, co-creator of VisiCalc - the first electronic spreadsheet and the killer app that launched the pers...

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Lukas Biewald | You think you're late, but you're early | Learning from Machine Learning #13

Lukas Biewald | You think you're late, but you're early | Learning from Machine Learning #13

On this episode of Learning from Machine Learning, I had the privilege of speaking with Lukas Biewald, co-founder and CEO of Weights & Biases. We traced his journey from programming games as a kid to ...

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Maxime Labonne: Designing beyond Transformers | Learning from Machine Learning #12

Maxime Labonne: Designing beyond Transformers | Learning from Machine Learning #12

On this episode of Learning from Machine Learning, I had the privilege of speaking with Maxime Labonne, Head of Post-Training at Liquid AI. We traced his journey from cybersecurity to the cutting edge...

28 Maj 20251h 3min

Aman Khan: Arize, Evaluating AI, Designing for Non-Determinism | Learning from Machine Learning #11

Aman Khan: Arize, Evaluating AI, Designing for Non-Determinism | Learning from Machine Learning #11

On this episode of Learning from Machine Learning, I had the privilege of speaking with Aman Khan, Head of Product at Arize AI. Aman shared how evaluating AI systems isn't just a step in the process—i...

29 Apr 20251h 7min

Leland McInnes: UMAP, HDBSCAN & the Geometry of Data | Learning from Machine Learning #10

Leland McInnes: UMAP, HDBSCAN & the Geometry of Data | Learning from Machine Learning #10

In this episode of Learning from Machine Learning, we explore the intersection of pure mathematics and modern data science with Leland McInnes, the mind behind an ecosystem of tools for unsupervised l...

25 Okt 202455min

Chris Van Pelt: Machine Learning Tooling, Weights and Biases, Entrepreneurship | Learning from Machine Learning  #9

Chris Van Pelt: Machine Learning Tooling, Weights and Biases, Entrepreneurship | Learning from Machine Learning #9

In this episode, we are joined by Chris Van Pelt, co-founder of Weights & Biases and Figure Eight/CrowdFlower. Chris has played a pivotal role in the development of MLOps platforms and has dedicated t...

1 Mars 20241h 5min

Michelle Gill: AI-Assisted Drug Discovery, NVIDIA, Biofoundation Models, Creating Applied Research Teams | Learning from Machine Learning #8

Michelle Gill: AI-Assisted Drug Discovery, NVIDIA, Biofoundation Models, Creating Applied Research Teams | Learning from Machine Learning #8

This episode features Dr. Michelle Gill, Tech Lead and Applied Research Manager at NVIDIA, working on transformative projects like BioNemo to accelerate drug discovery through AI. Her team explores Bi...

11 Jan 20241h 5min

Ines Montani: Explosion, NLP, Generative AI, Entrepreneurship | Learning from Machine Learning #7

Ines Montani: Explosion, NLP, Generative AI, Entrepreneurship | Learning from Machine Learning #7

This episode features co-founder and CEO of Explosion, Ines Montani. Listen in as we discuss the evolution of the web and machine learning, the development of SpaCy, Natural Language Processing vs. Na...

26 Okt 20231h 23min

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