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Sean Moriarity on the Future of Machine Learning with Elixir

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Nội dung được cung cấp bởi SmartLogic LLC. Tất cả nội dung podcast bao gồm các tập, đồ họa và mô tả podcast đều được SmartLogic LLC hoặc đối tác nền tảng podcast của họ tải lên và cung cấp trực tiếp. Nếu bạn cho rằng ai đó đang sử dụng tác phẩm có bản quyền của bạn mà không có sự cho phép của bạn, bạn có thể làm theo quy trình được nêu ở đây https://vi.player.fm/legal.

Sean Moriarity, author of Genetic Algorithms in Elixir and creator of the Axon Library, joins Elixir Wizards Sundi Myint and Bilal Hankins to discuss Elixir’s role in the future of machine learning and AI. He explains the difference between artificial intelligence, chat models, machine learning, deep learning systems, and neural networks.

Large language models have great potential for code generation, education tools, streamlining workflow, and more. Deployment, development experience, and real-time processing make Elixir an ideal programming language for creating and improving machine learning tools.

Key Topics Discussed in this Episode:

  • The difference between machine learning and artificial intelligence
  • How Axon builds on top of the Nx library for deep learning in Elixir
  • Why logic cannot fully define characteristics that identify golden retrievers
  • How Google Translate uses machine learning with a unified language model
  • The difficulties in translating concepts with no direct counterpart between languages
  • Data cleaning and labeling challenges
  • How Sean's interest in sports betting led to exploring machine learning
  • Why Sean's NBA betting model recommended betting $0 to maximize profit
  • Getting started with machine learning and Elixir projects
  • Attention mechanisms in neural networks
  • Bias and exceptions in machine translation models
  • How hummus preference was used to determine Sundi's Hogwarts house
  • Sean's work on a LiveView interface for ChatGPT
  • Why Elixir's deployment story, development experience, and real-time processing are good fits for machine learning applications

Links Mentioned:

Genetic Algorithms in Elixir by Sean Moriarity: https://pragprog.com/titles/smgaelixir/genetic-algorithms-in-elixir/
Axon Deep Learning in Elixir: https://seanmoriarity.com/2021/04/08/axon-deep-learning-in-elixir/
Nx Axon: https://github.com/elixir-nx/axon
Sean’s Twitter: https://twitter.com/sean_moriarity
Weston the Golden’s IG: https://www.instagram.com/westonthegolden_/
Sean’s Github: https://github.com/seanmor5
Bumblebee: https://github.com/elixir-nx/bumblebee
Sal Khan’s TedTalk about AI in Education: https://www.ted.com/talks/sal_khan_how_ai_could_save_not_destroy_education/c
Publicly Available Datasets/Intro to Machine Learning: https://www.kaggle.com/
Use code WIZARD for $100 off your ticket to Empex NYC in Brooklyn, NY on June 9, 2023 https://ti.to/empex-ny/empex-nyc-2023

Special Guest: Sean Moriarity.

  continue reading

203 tập

Artwork
iconChia sẻ
 

Fetch error

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What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.

Manage episode 364297620 series 2493466
Nội dung được cung cấp bởi SmartLogic LLC. Tất cả nội dung podcast bao gồm các tập, đồ họa và mô tả podcast đều được SmartLogic LLC hoặc đối tác nền tảng podcast của họ tải lên và cung cấp trực tiếp. Nếu bạn cho rằng ai đó đang sử dụng tác phẩm có bản quyền của bạn mà không có sự cho phép của bạn, bạn có thể làm theo quy trình được nêu ở đây https://vi.player.fm/legal.

Sean Moriarity, author of Genetic Algorithms in Elixir and creator of the Axon Library, joins Elixir Wizards Sundi Myint and Bilal Hankins to discuss Elixir’s role in the future of machine learning and AI. He explains the difference between artificial intelligence, chat models, machine learning, deep learning systems, and neural networks.

Large language models have great potential for code generation, education tools, streamlining workflow, and more. Deployment, development experience, and real-time processing make Elixir an ideal programming language for creating and improving machine learning tools.

Key Topics Discussed in this Episode:

  • The difference between machine learning and artificial intelligence
  • How Axon builds on top of the Nx library for deep learning in Elixir
  • Why logic cannot fully define characteristics that identify golden retrievers
  • How Google Translate uses machine learning with a unified language model
  • The difficulties in translating concepts with no direct counterpart between languages
  • Data cleaning and labeling challenges
  • How Sean's interest in sports betting led to exploring machine learning
  • Why Sean's NBA betting model recommended betting $0 to maximize profit
  • Getting started with machine learning and Elixir projects
  • Attention mechanisms in neural networks
  • Bias and exceptions in machine translation models
  • How hummus preference was used to determine Sundi's Hogwarts house
  • Sean's work on a LiveView interface for ChatGPT
  • Why Elixir's deployment story, development experience, and real-time processing are good fits for machine learning applications

Links Mentioned:

Genetic Algorithms in Elixir by Sean Moriarity: https://pragprog.com/titles/smgaelixir/genetic-algorithms-in-elixir/
Axon Deep Learning in Elixir: https://seanmoriarity.com/2021/04/08/axon-deep-learning-in-elixir/
Nx Axon: https://github.com/elixir-nx/axon
Sean’s Twitter: https://twitter.com/sean_moriarity
Weston the Golden’s IG: https://www.instagram.com/westonthegolden_/
Sean’s Github: https://github.com/seanmor5
Bumblebee: https://github.com/elixir-nx/bumblebee
Sal Khan’s TedTalk about AI in Education: https://www.ted.com/talks/sal_khan_how_ai_could_save_not_destroy_education/c
Publicly Available Datasets/Intro to Machine Learning: https://www.kaggle.com/
Use code WIZARD for $100 off your ticket to Empex NYC in Brooklyn, NY on June 9, 2023 https://ti.to/empex-ny/empex-nyc-2023

Special Guest: Sean Moriarity.

  continue reading

203 tập

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