Sebastian Raschka: Learning ML, Responsible AI, AGI | Learning from Machine Learning #4

Learning from Machine Learning
26/03/2023 1h 7min Temporada 1 Episodio 4
Sebastian Raschka: Learning ML, Responsible AI, AGI | Learning from Machine Learning #4

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Episode Synopsis

This episode we welcome Sebastian Raschka, Lead AI Educator at Lightning and author of Machine Learning with Pytorch and Scikit-Learn to discuss the best ways to learn machine learning, his open source work, how to use chatGPT, AGI, responsible AI and so much more. Sebastian is a fountain of knowledge and it was a pleasure to get his insights on this fast moving industry. Learning from Machine Learning, a podcast that explores more than just algorithms and data: Life lessons from the experts. Resources to learn more about Sebastian Raschka and his work:https://sebastianraschka.com/https://lightning.ai/Machine Learning with Pytorch and Scikit-LearnMachine Learning Q and AIResources to learn more about Learning from Machine Learning and the host: https://www.linkedin.com/company/learning-from-machine-learninghttps://www.linkedin.com/in/sethplevine/https://medium.com/@levine.seth.ptwitterReferences from Episodehttps://scikit-learn.org/stable/http://rasbt.github.io/mlxtend/https://github.com/BioPandas/biopandasUnderstanding and Coding the Self-Attention Mechanism of Large Language Models From ScratchAndrew Ng - https://www.andrewng.org/Andrej Karpathy - https://karpathy.ai/Paige Bailey - https://github.com/dynamicwebpaigeContents01:15 - Career Background05:18 - Industry vs. Academia08:18 - First Project in ML15:04 - Open Source Projects Involvement20:00 - Machine Learning: Q&AI24:18 - ChatGPT as Brainstorm Assistant25:38 - Hype vs. Reality27:55 - AGI31:00 - Use Cases for Generative Models34:01 - Should the goal to be to replicate human intelligence?39:18 - Delegating Tasks using LLM42:26 - ML Models are overconfident on Out of Distribution44:54 - Responsible AI and ML45:59 - Complexity of ML Systems47:26 - Trend for ML Practitioners to move to AI Ethics49:27 - What advice would you give to someone just starting out?52:20 - Advice that you’ve received that has helped you54:08 - Andrew Ng Advice55:20 - Exercise of Implementing Algorithms from Scratch59:00 - Who else has influenced you?01:01:18 - Production and Real-World Applications - Don’t reinvent the wheel01:03:00 - What has a career in ML taught you about life?

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