33 episodes

Learn more about AI and how to better leverage it.

This podcast aims to share exciting discussions with AI experts to demystify what they do and what they work on. We will cover specific AI-related topics (e.g., ChatGPT, DALLE...) and different roles related to artificial intelligence to share knowledge from the people who worked hard to gather it.

I also want to showcase these people's unique paths to get where they are as AI builders, experts, and users. From building to leveraging AI technologies.

Owner of the What's AI channel on YouTube, co-founder of Towards AI, and ex-PhD at Mila.

What's AI Podcast by Louis-François Bouchard What's AI Louis Bouchard

    • Technology
    • 5.0 • 5 Ratings

Learn more about AI and how to better leverage it.

This podcast aims to share exciting discussions with AI experts to demystify what they do and what they work on. We will cover specific AI-related topics (e.g., ChatGPT, DALLE...) and different roles related to artificial intelligence to share knowledge from the people who worked hard to gather it.

I also want to showcase these people's unique paths to get where they are as AI builders, experts, and users. From building to leveraging AI technologies.

Owner of the What's AI channel on YouTube, co-founder of Towards AI, and ex-PhD at Mila.

    AI and Education: AI's Role in Education with Luis Serrano

    AI and Education: AI's Role in Education with Luis Serrano

    In this episode, Luis Serrano and I dive into the transformative impact of AI on education, forecasting a radical shift in how future generations learn and think.


    ► Luis' website: https://serrano.academy/

    ►Twitter: https://twitter.com/Whats_AI

    ►My Newsletter (My AI updates and news clearly explained): https://louisbouchard.substack.com/

    ►Support me on Patreon: https://www.patreon.com/whatsai

    ►Join Our AI Discord: https://discord.gg/learnaitogether

    How to start in AI/ML - A Complete Guide:
    ►https://www.louisbouchard.ai/learnai/



    Chapters:

    00:00 Coming up in the conversation

    00:01:50 Sharing journey: Why Luis became an educator

    00:06:03 Can someone develop skills to become a better educator, and what are they?

    00:08:07 Deciding the depth of explanation

    00:10:57 AI’s impact on education

    00:22:35 How does an explanation without graphic aid look?

    00:27:15 Luis is explaining embedding in an intuitive way?

    00:31:05 Is AI hard to explain because of newness or complexity?

    00:34:01 Necessity of understanding the basics of AI

    00:36:57 Why do people not want to learn about how AI works?

    00:39:15 Importance of good story telling and explanation

    00:42:01 Strategy to explain tough topics

    00:48:12 Strategy to introduce complex words in explanation

    00:55:14 Evolution in AI Education Approaches 

    01:02:03 Is it possible to bring good value through shorts or reels?

    01:04:46 Rise of Podcast and reels

    • 1 hr 14 min
    From PhD to AI Innovation: Learn How to Build Products That Change the World

    From PhD to AI Innovation: Learn How to Build Products That Change the World

    Register to GTC (attend in person, or free online): https://nvda.ws/3XQRtkl



    Interested in end-to-end PM job hunting and up-skilling program by Dr. Nancy Li’s PM Accelerator? Register this free masterclass about product portfolio and stay until the end to learn more about the program (Use the code LOUIS500 for 500$ off on her program!): https://www.drnancyli.com/a/2147615411/2HzsofFw



    Introducing Dr. Nancy Li, a versatile entrepreneur, Director of Products, YouTuber, and a Forbes-featured professional with 8 years of experience in driving cutting-edge technology products. Dr. Li currently serves as the CEO of PM Accelerator, the fastest-growing Product Management Professional Development Company in the industry, known for its engaging alumni network, and top-rated program, and she has a remarkable record of helping over 1000 aspiring product managers secure high-paying roles at tech giants and unicorn startups. Her journey, from being the youngest engineering Ph.D. to Director of Product in just four years, is a testament to her extraordinary career.

    Having personally launched award-winning AI products and mentored many into high-paying AI PM roles, Dr. Nancy offers a rare blend of expertise and experience. From her day-to-day interactions with AI engineers to the challenges of training AI models, she provides a comprehensive look into the dynamic world of AI product management.



    References we discussed in the episode:

    PM Accelerator by Dr. Nancy Li:
    https://www.drnancyli.com



    The ONLY 4 Ways to Become an AI Product Manager with No Experience: https://youtu.be/aQTuPUIkrxk?si=JJMih2qzC6iP2a8_

    A Day in The Life of An AI Product Manager: https://youtu.be/waVyVcUzfeg?si=YOqUao6HCSHQ9MWG



    ►Twitter: https://twitter.com/Whats_AI

    ►My Newsletter (My AI updates and news clearly explained): https://louisbouchard.substack.com/

    ►Support me on Patreon: https://www.patreon.com/whatsai

    ►Join Our AI Discord: https://discord.gg/learnaitogether


    00:00:00 Coming up in the conversation

    00:02:46 Nancy introduces herself

    00:04:02 The reason Nancy couldn't drop her PhD

    00:07:35 These are the people PhD is for

    00:09:40 Secret revealed: How Nancy completed her PhD in 3.5 years!

    00:14:07 Tips that helped Nancy peer with people from MIT

    00:23:25 Are companies still prioritizing titles over practical skills?

    00:26:21 Have PM skill requirements changed in recent years?

    00:29:20 Crazy story: This is why she will never go to university to teach!

    00:35:53 Online education vs offline education

    00:41:29 Shifting from Material to AI: How she Landed a Job!

    00:44:32 Staying up-to-date with technology and deciding when to implement which

    00:46:41 Secret recipe to make successful AI products

    00:51:19 Day to day life of a PM

    00:55:28 Louis shares about his start-up Towards AI

    00:58:21 Nancy shares information about her PM accelerator program

    • 1 hr 3 min
    Land Your First Data Job in 90 Days: Avery Smith's Secret Formula

    Land Your First Data Job in 90 Days: Avery Smith's Secret Formula

    In this episode, I talk with Avery Smith, a data analytics expert and educator who gives practical strategies for breaking into the data analytics field, leveraging AI for learning and career development. Avery shares his journey into data and teaching, and insights on helping others transition into data careers through his Data Analytics Accelerator program, emphasizing the importance of practical projects and how he leverages AI in enhancing learning and job preparation processes (and he shares tips to help you do that too!).



    References:

    ►Avery Smith: https://www.linkedin.com/in/averyjsmith/

    ►Data Career Jumpstart: https://www.datacareerjumpstart.com/

    ►Podcast: https://podcasters.spotify.com/pod/show/datacareerpodcast

    ►AveryGPT: https://www.datacareerjumpstart.com/averygpt

    ►AI Interview Simulator: https://www.datacareerjumpstart.com/interviewsimulator

    ►Twitter: https://twitter.com/Whats_AI

    ►My Newsletter (My AI updates and news clearly explained): https://louisbouchard.substack.com/

    ►Support me on Patreon: https://www.patreon.com/whatsai

    ►Join Our AI Discord: https://discord.gg/learnaitogether



    How to start in AI/ML - A Complete Guide:
    ►https://www.louisbouchard.ai/learnai/



    Timestamps:

    00:00 Coming up in the conversation

    01:45 Avery shares about his background

    03:00 Making people land data job in 90 days!

    07:02 Theory vs Practical knowledge

    08:34 Importance of Explainability in Models

    10:28 The Future of Traditional and Online Education

    12:00 Networking while studying remotely

    14:09 Maintaining consistency in value in LinkedIn posts.

    16:20 Is greater studies still relevant in the era of ChatGPT?

    17:45 Becoming freelancing ready in data analytics

    20:53 Keeping course content up to date 

    23:56 This is how Avery utilizes AI

    29:16 Discussion on AI Avatars

    38:01 Does Avery provide lessons on how to better use ChatGPT?

    40:08 Avery shares his learning resources

    43:12 Book recommendations

    44:52 Is the field of data field too saturated to join right now?

    46:58 Discussion on the current reality of freelancing

    • 52 min
    AI for Education, Freelancing, Boosting Personal Productivity and more with Tina Huang

    AI for Education, Freelancing, Boosting Personal Productivity and more with Tina Huang

    In this episode I had the opportunity to talk with Tina Huang, founder of the Lonely Octopus platform, a highly successful YouTube channel and experienced freelancer in the AI space. Tina shares her invaluable insights on leveraging AI in education, the nuances of freelancing in the tech industry, and strategies for enhancing personal productivity. The episode is for anyone looking to navigate the landscape of technology (especially AI), offering practical tips to work in the field or just leverage AI better.


    ►Check out Tina's channel  @TinaHuang1 

    ►Lonely Octopus: https://www.lonelyoctopus.com/

    ►Twitter: https://twitter.com/Whats_AI

    ►My Newsletter (My AI updates and news clearly explained): https://louisbouchard.substack.com/

    ►Support me on Patreon: https://www.patreon.com/whatsai

    ►Join Our AI Discord: https://discord.gg/learnaitogether



    Timestamps:

    00:00 Coming up in the conversation

    02:00 How did Tina get into AI and YouTube?

    03:17 Tina's goal and mission

    04:09 Tina’s niche

    06:40 Higher education in the AI and data science space

    10:36 Tips for beginners to become freelancing-ready

    17:24 What will be more important in the future, LLMs or coding languages?

    22:30 Tips for those who want to change field while balancing their current job

    25:16 Using YouTube to force ownself to learn

    27:17 How to make commitments and what kind of commitments should you have?

    33:05 Louis shares about the AI market he believes has the most potential

    37:44 Tina discussed where she wants to contribute more

    39:09 Tine shares the benefits that her YouTube venture has brought

    40:40 How can one use content to create leverage in freelancing?

    43:05 Is audience conversion from shorts to long-form content really an issue?

    46:46 Freelancing vs corporate employment vs entrepreneurship

    50:33 What skills should one develop to secure freelance opportunities in the field of AI?

    54:00 Tina shares about her upcoming plans

    • 56 min
    The Future of Art: AI, Creativity, and Human Co-Evolution - A Talk with Mariam Brian

    The Future of Art: AI, Creativity, and Human Co-Evolution - A Talk with Mariam Brian

    In this episode, I received Mariam Brian, CEO of Holo Art, to talk about the transformative role of AI in the art world. She discusses how artificial intelligence is reshaping artistic creation and expression and addresses the ethical implications of this technological evolution. This conversation, accessible to anyone, offers a fantastic perspective on the intersection of art and AI, highlighting the potential for a new era of creativity and collaboration between humans and machines!


    ►Mariam's LinkedIn: https://www.linkedin.com/in/mariamhashemi/►Holo Art: https://holo-art.io/about-us ► Holo Art announcement: https://medium.com/@mariambrian/patented-ai-process-for-executives-organizations-looking-to-level-up-e465c1c35a07
    ►Twitter: https://twitter.com/Whats_AI
    ►My Newsletter (My AI updates and news clearly explained): https://louisbouchard.substack.com/
    ►Support me on Patreon: https://www.patreon.com/whatsai
    ►Join Our AI Discord: https://discord.gg/learnaitogether

    Timestamps:

    00:00:00 Coming up in the conversation

    00:01:32 Mariam shares about his background

    00:02:15 The Intersection of AI and Philosophy

    00:05:39 The Impact of AI on Art and Artists

    00:08:36 The Future of AI and Art

    00:09:13 The Role of AI in Business and Ethics

    00:10:55 AI might the Pandora box of lot of problems!

    00:14:39 Simultaneous rise of Podcast & Shorts and their impact on the lives of billions

    00:23:42 The Creativity of AI and its Impact on Artists

    00:28:53 Can AI generated art hurt creativity of artist?

    00:33:22 To be an artist, ethics becomes a way of life

    00:35:45 Mariam's Personal Use of AI in Art

    00:40:30 AI's Potential in Human-Machine Co-Creation

    00:41:27 Understanding Ourselves and AI's Perception of Us

    00:46:32 W.I.E.R.D Science

    00:50:02 While using AI model do you try to control it or let it surprise you?

    00:54:38 Public Perception of AI-Generated Art

    01:01:44 The Risks and Opportunities for Artists Using AI

    01:10:53 Mariam's message for listeners

    • 1 hr 16 min
    The Role of Data in Advancing AI: Insights from Expert Jerome Pasquero

    The Role of Data in Advancing AI: Insights from Expert Jerome Pasquero

    A new episode with Jerome Pasquero, a Machine Learning Director at Sama, a leading company for data annotation solutions, where we dive into the role of data in AI's evolution. We explore the nuances of data annotation, the ethical implications of data in AI, and how data is shaping the future of technology. Don't miss Jerome Pasquero's insights on the intersection of data and AI!



    ►Jerome Pasquero: https://www.linkedin.com/in/jeromepasquero/

    ►Twitter: https://twitter.com/Whats_AI

    ►My Newsletter (My AI updates and news clearly explained): https://louisbouchard.substack.com/

    ►Support me on Patreon: https://www.patreon.com/whatsai

    ►Join Our AI Discord: https://discord.gg/learnaitogether


    Timestamps:

    00:00:00 Coming up in the conversation

    00:01:34 Jerome shares about his background

    00:04:07 How did Jerome get into the data field?

    00:05:23 AI back in the days of 2000s

    00:07:20 Back then, what piqued Jerome's interest the most in AI?

    00:08:40 Using AI to try to mimic human comprehension

    00:12:47 Present challenges and the prospective outlook of computer vision

    00:14:54 Using Humans vs. ML Models to Annotate Data

    00:17:46 Jerome's perspective on Constitutional AI or RLAIF

    00:24:52 Impact of LLM and AI on the Job market

    00:26:27 Is the AI revolution bigger than previous tech revolutions?

    00:28:35 Will there be something more interesting than AGI?

    00:31:15 Dealing with complex annotation tasks and different perspectives

    00:33:33 Dealing with biases

    00:36:18 Using a single annotator vs. multiple annotators on the same data

    00:37:49 Synthetically generated data

    00:40:47 Scaling quality assurance for large datasets

    00:42:46 When is machine learning better at annotation than human annotators?

    00:45:34 Reduction of Humans-in-the-loop due to the constant evolution of AI

    00:46:42 Data Requirements for Training Autonomous Vehicles

    00:51:43 Sensors for transferring human driving skills to Autonomous cars

    00:53:20 Why don’t we build only autonomous subway system?

    00:55:26 Use of AI in the vision industry and example of vision technology used in our daily life

    01:00:17 The potential of haptics and its link with AI

    • 1 hr 7 min

Customer Reviews

5.0 out of 5
5 Ratings

5 Ratings

Louis-François 01 ,

<3

<3

Freud StL ,

IMO the best podcast about AI

Thank you again Louis for this great interview! Can’t wait for your next one 🙌💪🫵

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