Sebastian Raschka: Learning ML, Responsible AI, AGI | Learning from Machine Learning #4
2023/03/26
再生時間： 1 時間 8 分
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Sebastian Raschka: Learning ML, Responsible AI, AGI | Learning from Machine Learning #4

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サマリー
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-Learn
Machine Learning Q and AI
Resources to learn more about Learning from Machine Learning and the host: https://www.linkedin.com/company/learning-from-machine-learning
https://www.linkedin.com/in/sethplevine/
https://medium.com/@levine.seth.p
twitter
References from Episode
https://scikit-learn.org/stable/
http://rasbt.github.io/mlxtend/
https://github.com/BioPandas/biopandas
Understanding and Coding the Self-Attention Mechanism of Large Language Models From Scratch
Andrew Ng - https://www.andrewng.org/
Andrej Karpathy - https://karpathy.ai/
Paige Bailey - https://github.com/dynamicwebpaige
Contents
01:15 - Career Background
05:18 - Industry vs. Academia
08:18 - First Project in ML
15:04 - Open Source Projects Involvement
20:00 - Machine Learning: Q&AI
24:18 - ChatGPT as Brainstorm Assistant
25:38 - Hype vs. Reality
27:55 - AGI
31:00 - Use Cases for Generative Models
34:01 - Should the goal to be to replicate human intelligence?
39:18 - Delegating Tasks using LLM
42:26 - ML Models are overconfident on Out of Distribution
44:54 - Responsible AI and ML
45:59 - Complexity of ML Systems
47:26 - Trend for ML Practitioners to move to AI Ethics
49:27 - What advice would you give to someone just starting out?
52:20 - Advice that you’ve received that has helped you
54:08 - Andrew Ng Advice
55:20 - Exercise of Implementing Algorithms from Scratch
59:00 - Who else has influenced you?
01:01:18 - Production and Real-World Applications - Don’t reinvent the wheel
01:03:00 - What has a career in ML taught you about life?

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あらすじ・解説

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-Learn

Machine Learning Q and AI

Resources to learn more about Learning from Machine Learning and the host: https://www.linkedin.com/company/learning-from-machine-learning

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

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

twitter

References from Episode

https://scikit-learn.org/stable/

http://rasbt.github.io/mlxtend/

https://github.com/BioPandas/biopandas

Understanding and Coding the Self-Attention Mechanism of Large Language Models From Scratch

Andrew Ng - https://www.andrewng.org/

Andrej Karpathy - https://karpathy.ai/

Paige Bailey - https://github.com/dynamicwebpaige

Contents

01:15 - Career Background

05:18 - Industry vs. Academia

08:18 - First Project in ML

15:04 - Open Source Projects Involvement

20:00 - Machine Learning: Q&AI

24:18 - ChatGPT as Brainstorm Assistant

25:38 - Hype vs. Reality

27:55 - AGI

31:00 - Use Cases for Generative Models

34:01 - Should the goal to be to replicate human intelligence?

39:18 - Delegating Tasks using LLM

42:26 - ML Models are overconfident on Out of Distribution

44:54 - Responsible AI and ML

45:59 - Complexity of ML Systems

47:26 - Trend for ML Practitioners to move to AI Ethics

49:27 - What advice would you give to someone just starting out?

52:20 - Advice that you’ve received that has helped you

54:08 - Andrew Ng Advice

55:20 - Exercise of Implementing Algorithms from Scratch

59:00 - Who else has influenced you?

01:01:18 - Production and Real-World Applications - Don’t reinvent the wheel

01:03:00 - What has a career in ML taught you about life?

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