Lewis Tunstall: Hugging Face, SetFit and Reinforcement Learning | Learning from Machine Learning #6

Learning from Machine Learning
03/10/2023 1h 18min Temporada 1 Episodio 6
Lewis Tunstall: Hugging Face, SetFit and Reinforcement Learning | Learning from Machine Learning #6

Listen "Lewis Tunstall: Hugging Face, SetFit and Reinforcement Learning | Learning from Machine Learning #6"

Descargar episodio Ver en sitio original

Episode Synopsis

This episode features Lewis Tunstall, machine learning engineer at Hugging Face and author of the best selling book Natural Language Processing with Transformers. He currently focuses on one of the hottest topic in NLP right now reinforcement learning from human feedback (RLHF). Lewis holds a PhD in quantum physics and his research has taken him around the world and into some of the most impactful projects including the Large Hadron Collider, the world's largest and most powerful particle accelerator. Lewis shares his unique story from Quantum Physicist to Data Scientist to Machine Learning Engineer. Resources to learn more about Lewis Tunstallhttps://www.linkedin.com/in/lewis-tunstall/https://github.com/lewtunReferences from the Episodehttps://www.fast.ai/https://jeremy.fast.ai/SetFit - https://arxiv.org/abs/2209.11055Proximal Policy OptimizationInstructGPTRAFT BenchmarkBidirectional Language Models are Also Few-Shot LearnersNils Reimers - Sentence TransformersJay Alammar - Illustrated TransformerAnnotated TransformerMoshe Wasserblat, Intel, NLP, Research ManagerLeandro von Werra, Co-Author of NLP with Transformers, Hugging Face ResearcherLLMSys - https://lmsys.org/LoRA - Low-Rank Adaptation of Large Language ModelsResources to learn more about Learning from Machine Learninghttps://www.linkedin.com/company/learning-from-machine-learninghttps://mindfulmachines.substack.com/https://www.linkedin.com/in/sethplevine/https://medium.com/@levine.seth.p

More episodes of the podcast Learning from Machine Learning

Dan Bricklin: Lessons from Building the First Killer App | Learning from Machine Learning #14 17/10/2025
Lukas Biewald | You think you're late, but you're early | Learning from Machine Learning #13 01/07/2025
Maxime Labonne: Designing beyond Transformers | Learning from Machine Learning #12 28/05/2025
Aman Khan: Arize, Evaluating AI, Designing for Non-Determinism | Learning from Machine Learning #11 29/04/2025
Leland McInnes: UMAP, HDBSCAN & the Geometry of Data | Learning from Machine Learning #10 25/10/2024
Chris Van Pelt: Machine Learning Tooling, Weights and Biases, Entrepreneurship | Learning from Machine Learning #9 01/03/2024
Michelle Gill: AI-Assisted Drug Discovery, NVIDIA, Biofoundation Models, Creating Applied Research Teams | Learning from Machine Learning #8 11/01/2024
Ines Montani: Explosion, NLP, Generative AI, Entrepreneurship | Learning from Machine Learning #7 26/10/2023
Paige Bailey: Google Deepmind, LLMs, Power of ML to improve code | Learning from Machine Learning #5 19/05/2023
Sebastian Raschka: Learning ML, Responsible AI, AGI | Learning from Machine Learning #4 26/03/2023
© 2003-2025 ZARZA | AHEAD OF OUR TIME
privacy policy
In God we trust In God we trust
PreSales Questions? Click Here
or call our toll-free line at +1-888-5002068 Miami, Florida, USA