TopPodcast.com
Menu
  • Home
  • Top Charts
  • Top Networks
  • Top Apps
  • Top Independents
  • Top Podfluencers
  • Top Picks
    • Top Business Podcasts
    • Top True Crime Podcasts
    • Top Finance Podcasts
    • Top Comedy Podcasts
    • Top Music Podcasts
    • Top Womens Podcasts
    • Top Kids Podcasts
    • Top Sports Podcasts
    • Top News Podcasts
    • Top Tech Podcasts
    • Top Crypto Podcasts
    • Top Entrepreneurial Podcasts
    • Top Fantasy Sports Podcasts
    • Top Political Podcasts
    • Top Science Podcasts
    • Top Self Help Podcasts
    • Top Sports Betting Podcasts
    • Top Stocks Podcasts
  • Podcast News
  • About Us
  • Podcast Advertising
  • Contact
Not in our directory?
Add Show Here
Podcast Equipment
Center

toppodcastlogoOur TOPPODCAST Picks

  • Comedy
  • Crypto
  • Sports
  • News
  • Politics
  • True Crime
  • Business
  • Finance

Follow Us

toppodcastlogoStay Connected

    View Top 200 Chart
    Back to Rankings Page
    Software How-To

    Practical AI

    Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more).

    The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!

    Advertise

    Copyright: © All rights reserved

    • Apple Podcasts
    • Google Play
    • Spotify

    Latest Episodes:
    ChatGPT goes prime time! Jan 10, 2023
    Show notes

    Daniel and Chris do a deep dive into OpenAI’s ChatGPT, which is the first LLM to enjoy direct mass adoption by folks outside the AI world. They discuss how it works, its effect on the world, ramifications of its adoption, and what we may expect in the future as these types of models continue to evolve.


    Featuring:

    • Chris Benson – Website, GitHub, LinkedIn, X
    • Daniel Whitenack – Website, GitHub, X

    Show Notes:

    • ChatGPT
    • OpenAI Blog: ChatGPT
    • Illustrating Reinforcement Learning from Human Feedback (RLHF)

    Upcoming Events:

    • Register for upcoming webinars here!

    NLP research by & for local communities Jan 03, 2023
    Show notes

    While at EMNLP 2022, Daniel got a chance to sit down with an amazing group of researchers creating NLP technology that actually works for their local language communities. Just Zwennicker (Universiteit van Amsterdam) discusses his work on a machine translation system for Sranan Tongo, a creole language that is spoken in Suriname. Andiswa Bukula (SADiLaR), Rooweither Mabuya (SADiLaR), and Bonaventure Dossou (Lanfrica, Mila) discuss their work with Masakhane to strengthen and spur NLP research in African languages, for Africans, by Africans.

    The group emphasized the need for more linguistically diverse NLP systems that work in scenarios of data scarcity, non-Latin scripts, rich morphology, etc. You don’t want to miss this one!


    Featuring:

    • Just Zwennicker – LinkedIn
    • Andiswa Bukula – X
    • Rooweither Mabuya – X
    • Bonaventure Dossou – Website, GitHub, LinkedIn, X
    • Daniel Whitenack – Website, GitHub, X

    Show Notes:

    EMNLP 2022 papers from the guests:

    • Towards a general purpose machine translation system for Sranantongo
    • MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition
    • AfroLM: A Self-Active Learning-based Multilingual Pretrained Language Model for 23 African Languages

    Other links relevant to the discussion:

    • Masakhane
    • Lanfrica
    • The South African Centre for Digital Language Resources (SADiLaR)

    Upcoming Events:

    • Register for upcoming webinars here!

    SOTA machine translation at Unbabel Dec 13, 2022
    Show notes

    José and Ricardo joined Daniel at EMNLP 2022 to discuss state-of-the-art machine translation, the WMT shared tasks, and quality estimation. Among other things, they talk about Unbabel’s innovations in quality estimation including COMET, a neural framework for training multilingual machine translation (MT) evaluation models.


    Featuring:

    • Ricardo Rei – X
    • José Souza – X
    • Daniel Whitenack – Website, GitHub, X

    Show Notes:

    • Unbabel
    • COMET
    • The WMT workshop/ conference
    • EMNLP

    Upcoming Events:

    • Register for upcoming webinars here!

    AI competitions & cloud resources Dec 07, 2022
    Show notes

    In this special episode, we interview some of the sponsors and teams from a recent case competition organized by Purdue University, Microsoft, INFORMS, and SIL International. 170+ teams from across the US and Canada participated in the competition, which challenged students to create AI-driven systems to caption images in three languages (Thai, Kyrgyz, and Hausa).


    Featuring:

    • Matthew Lanham – Website, X
    • Mark Tabladillo – LinkedIn, X
    • Daniel Whitenack – Website, GitHub, X

    Show Notes:

    • Purdue University’s Krannert School of Business
    • Master the basics of Azure: AI Fundamentals
    • Azure Architecture Center
    • SIL International
    • The bloom-captioning dataset

    Books

    • “Applied Machine Learning and AI for Engineers” by Jeff Prosise

    Upcoming Events:

    • Register for upcoming webinars here!

    Copilot lawsuits & Galactica "science" Nov 29, 2022
    Show notes

    There are some big AI-related controversies swirling, and it’s time we talk about them. A lawsuit has been filed against GitHub, Microsoft, and OpenAI related to Copilot code suggestions, and many people have been disturbed by the output of Meta AI’s Galactica model. Does Copilot violate open source licenses? Does Galactica output dangerous science-related content? In this episode, we dive into the controversies and risks, and we discuss the benefits of these technologies.


    Featuring:

    • Chris Benson – Website, GitHub, LinkedIn, X
    • Daniel Whitenack – Website, GitHub, X

    Show Notes:

    Related to Copilot:

    • Article - “GitHub Copilot Isn’t Worth the Risk”
    • Tabnine
    • Big Code Project

    Related to Galactica:

    • Model website
    • Article: “Galactica: the AI knowledge base that makes stuff up”

    Books

    • “Interpretable Machine Learning” by Christoph Molnar
    • “Modeling Mindsets” by Christoph Molnar

    Upcoming Events:

    • Register for upcoming webinars here!

    Protecting us with the Database of Evil Nov 16, 2022
    Show notes

    Online platforms and their users are susceptible to a barrage of threats – from disinformation to extremism to terror. Daniel and Chris chat with Matar Haller, VP of Data at ActiveFence, a leader in identifying online harm – is using a combination of AI technology and leading subject matter experts to provide Trust & Safety teams with precise, real-time data, in-depth intelligence, and automated tools to protect users and ensure safe online experiences.


    Featuring:

    • Matar Haller – GitHub, LinkedIn
    • Chris Benson – Website, GitHub, LinkedIn, X
    • Daniel Whitenack – Website, GitHub, X

    Show Notes:

    • ActiveFence

    Upcoming Events:

    • Register for upcoming webinars here!

    Hybrid computing with quantum processors Nov 08, 2022
    Show notes

    It’s been a while since we’ve touched on quantum computing. It’s time for an update! This week we talk with Yonatan from Quantum Machines about real progress being made in the practical construction of hybrid computing centers with a mix of classical processors, GPUs, and quantum processors. Quantum Machines is building both hardware and software to help control, program, and integrate quantum processors within a hybrid computing environment.


    Featuring:

    • Yonatan Cohen – GitHub, LinkedIn, X
    • Chris Benson – Website, GitHub, LinkedIn, X
    • Daniel Whitenack – Website, GitHub, X

    Show Notes:

    Quantum Machines


    Upcoming Events:

    • Register for upcoming webinars here!

    The practicalities of releasing models Nov 01, 2022
    Show notes

    Recently Chris and Daniel briefly discussed the Open RAIL-M licensing and model releases on Hugging Face. In this episode, Daniel follows up on this topic based on some recent practical experience. Also included is a discussion about graph neural networks, message passing, and tweaking synthesized voices!


    Featuring:

    • Chris Benson – Website, GitHub, LinkedIn, X
    • Daniel Whitenack – Website, GitHub, X

    Show Notes:

    • Daniel’s team license from recent work
    • Graph Neural Network courses from Zak Jost
    • Coqui voice studio

    Upcoming Events:

    • Register for upcoming webinars here!

    AI adoption in large, well-established companies Oct 26, 2022
    Show notes

    This panel discussion was recorded at a recent event hosted by a company, Aryballe, that we previously featured on the podcast (#120). We got a chance to discuss the AI-driven technology transforming the order/fragrance industries, and we went down the rabbit hole discussing how this technology is being adopted at large, well-established companies.


    Featuring:

    • Mary Fischer-Mullins – LinkedIn
    • Yanis Caritu – LinkedIn
    • Daniel Whitenack – Website, GitHub, X

    Show Notes:

    • Aryballe
    • Cox Automotive
    • Previous episode with Aryballe

    Upcoming Events:

    • Register for upcoming webinars here!

    Data for All Oct 18, 2022
    Show notes

    People are starting to wake up to the fact that they have control and ownership over their data, and governments are moving quickly to legislate these rights. John K. Thompson has written a new book on the topic that is a must read! We talk about the new book in this episode along with how practitioners should be thinking about data exchanges, privacy, trust, and synthetic data.


    Featuring:

    • John K. Thompson – LinkedIn, X
    • Chris Benson – Website, GitHub, LinkedIn, X
    • Daniel Whitenack – Website, GitHub, X

    Show Notes:

    Use the code podpracticalAI19 for 40% off of Data for All, along with all Manning products in all formats!!!

    Books

    • “Data for All” by John K. Thompson
    • John’s other books:
      • “Building Analytics Teams” by John K. Thompson
      • “Analytics” by John Thompson and Shawn Rogers

    Upcoming Events:

    • Register for upcoming webinars here!

    Previous 1 16 17 18 19 20 38 Next

    Related Podcasts

    Know How… (Video)

    1

    Know How… (Video) Education
    JavaScript Jabber

    2

    JavaScript Jabber Education
    Programming Throwdown

    3

    Programming Throwdown Software How-To
    Software Engineering Radio – the podcast for professional software developers

    4

    Software Engineering Radio – the podcast for professional software developers Software How-To
    The Changelog: Software Development, Open Source

    5

    The Changelog: Software Development, Open Source How To
    Coding Blocks

    6

    Coding Blocks Software How-To
    footer-logo

    Contact Us

    Toll Free: 844-670-7747

    Links

    • Home
    • Top Charts
    • Networks
    • Apps
    • Independents Podcasts
    • Podcast Advertising
    • Podcast News
    • Contact Us
    • About Us
    • Analytics & Insights

    Stay Connected

      Privacy, Terms of Use & Our Code of Ethics Protecting Content Creators Copyrights