By Louis-François Bouchard
The podcast currently has 33 episodes available.
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
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
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:
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
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:
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
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.
►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
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!
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
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
►Think Autonomous: https://www.thinkautonomous.ai/
►Jeremy’s linkedin: https://www.linkedin.com/in/jeremycohen2626/
►Newsletter: https://www.thinkautonomous.ai/private-emails-home/
►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:
Become a member of the YouTube community, support my work and get a cool Discord role :
Chapters:
0:00 Hey! Tap the Thumbs Up button and Subscribe. You'll learn a lot of cool stuff, I promise.
00:01:31 Jeremy shares about his background
00:03:55 The future of Self-driving cars is not that straightforward!
00:07:49 If there are numerous challenges, why are companies still developing autonomous cars?
00:08:46 The future might involve more self-driving buses and trucks instead of cars
00:09:24 Are AI Start-ups dead?
00:14:25 Can 'wannabe' AI start-ups harm the actual AI economy and market?
00:16:50 Should AI research prioritize progress over control and a deep understanding of algorithms?
00:21:14 Can AI replace experts?
00:24:04 If we make AI hyper-personalized or make it impersonate someone, can it replace experts?
00:25:18 If AI cannot replace experts, should we be worried about our jobs?
00:26:18 How to find out if your job can be taken by AI or not?
00:33:06 Potential of AI in creative expression, entertainment, and journalism
00:38:11 Will AI make us dumb?
00:40:16 Can hallucination be fixed or not?
00:46:29 Is it possible to build a biasless AI model?
00:52:24 Transparency is going to be a big thing AI economy
00:55:59 AI can make your content boring!
01:02:39 Your mom might not use AI unless this happens!
01:09:08 Is AI democratizing opportunities or is it still only benefitting the rich?
Follow the podcast for more interesting conversations with experts in the AI space!
For more:
In this 25th episode, Jerry, co-founder and CEO of LlamaIndex shares valuable insights for anyone implementing LLM solutions. I decided to focus on Retrieval Augmented Generation (RAG) since it is the current "hype" solution, but we also touched on LLMs in general, the importance of good communication and documentation and more about the business sides of things. I hope you enjoy this episode of the What's AI podcast!
►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:
Chapters:
0:00 Hey! Tap the Thumbs Up button and Subscribe. You'll learn a lot of cool stuff, I promise.
01:30 Jerry shares about his journey into AI
03:29 Went into AI product space instead of doing a master's degree and research?
04:56 Understanding the Basics of AI and LLMs
07:16 Beginner in AI... note down this recommendation!
09:50 Understanding LlamaIndex
12:40 Comparing LlamaIndex with Other Tools
16:30 Thoughts on Gemini?
19:29 Dealing with Multimodalities in LlamaIndex
21:25 Importance of Good Documentation
24:12 Deep Dive into Retrieval Augmented Generation (RAG)
28:35 RAG vs Fine-Tuning
34:43 The Importance of Chunking Size in RAG System
37:49 The Importance of Data Quality in Chunks
42:55 Evaluate the RAG system
46:05 The future of LLM
49:29 The Role of Prompt Engineering in AI
53:33 Which AI tools do you use?
In this episode, I received Greg Coquillo, 2-times LinkedIn top voice, senior product manager and AI startup investor. I took this opportunity to into the lifecycle of startups, discussing the critical phases from prototyping to achieving market dominance. Greg shares his expertise on identifying crucial market signals that guide startups on whether to pivot or persevere. We also explore common pitfalls that AI startups face, such as scaling too rapidly and misalignment within teams. Particularly compelling is Greg's perspective on the current startup investment landscape and the exciting potential in AI-enabled solutions. He also shares his story and debuts on LinkedIn, giving great insights to build your own audience. This episode is a must-listen for entrepreneurs, investors, and anyone interested in the dynamic world of startups and AI innovation.
►Greg's linkedin: https://www.linkedin.com/in/greg-coquillo/
►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
0:00 Hey! Tap the Thumbs Up button and Subscribe. You'll learn a lot of cool stuff, I promise.
01:19 Greg Coquillo’s Introduction
05:26 Why Start Investing in Start-Ups?
10:20 Why Choose Start-Ups Over Public Companies for Investments?
13:48 Assessing Risk in Start-Up Investments
21:41 Considering Your Expertise on Subject Matter in Start-Up Investments?
27:12 Invest in someone even if they pivot their problems and solutions.
31:07 Decoding Market Signals for a Pivot
37:39 Key Pitfalls for Advisors, Investors, and Entrepreneurs to Navigate.
39:36 Exploring Potential in Start-Ups and Investing And Current Market Conditions.
43:41 Story behind 190k+ followers on LinkedIn page
50:15 Greg shares why he didn't start on multiple platforms even after a large audience on LinkedIn
54:00 Sharing knowledge was more beneficial for Greg than building a brand, but why?
58:12 Discussion about content creators
01:00:28 Some type of content is hurting actual content
01:09:40 Greg's message to viewers
The podcast currently has 33 episodes available.