Guest
This interview was recorded at GOTO Aarhus 2022 for GOTO Unscripted. #GOTOcon #GOTOunscripted #GOTOaar Read the full transcription of this interview here: Zenodia Charpy - Senior Data Scientist at NVIDIA Eric Johnson - Principal Developer Advocate for Serverless at AWS DESCRIPTION How close are we to interacting with machines at a human level? Learn about the state of the art in deep learning with practical insights from Zenodia Charpy, Senior Data Scientist at NVIDIA. She talks to Eric Johnson, Principal Developer Advocate at AWS, about the basics of language models and their evolution toward multilingual transformers. TIMECODES 00:00 Intro 00:57 What is a language model? 02:11 The transformer 07:23 How good are the AI/ML training models? 08:35 Multilingual transformer 12:11 Intent and slots in GPT3 13:18 What’s next? 18:17 Outro RECOMMENDED BOOKS Phil Winder • Reinforcement Learning • Holden Karau, Trevor Grant, Boris Lublinsky, Richard Liu & Ilan Filonenko • Kubeflow for Machine Learning • Kelleher & Tierney • Data Science (The MIT Press Essential Knowledge series) • Lakshmanan, Robinson & Munn • Machine Learning Design Patterns • Lakshmanan, Görner & Gillard • Practical Machine Learning for Computer Vision • Aurélien Géron • Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow • #NaturalLanguageProcessing #NLP #GPT3 #AI #ArtificialIntelligence #AGI #ArtificialGeneralIntelligence #MachineLearning #ML #ReinforcementLearning #RL #DataScience Looking for a unique learning experience? Attend the next GOTO conference near you! Get your ticket at SUBSCRIBE TO OUR CHANNEL - new videos posted almost daily.
