Master the concept of Recurrent Neural Networks (RNNs).
In this video, you’ll learn:-
What RNNs are and how they work
If you're a beginner or simply looking to enrich your understanding of deep learning theories, this video offers a clear, accessible explanation without any programming. It's perfect for students, educators, and AI enthusiasts!
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Also, pre-order my book “AI, Machine Learning, Deep Learning: From Novice to Pro” here - https://a.co/d/c1MQuXj
Deepfakes are an AI technology that makes it look like someone said or did something they never actually said or did. You’ve probably seen a few online. These videos may look real, but they are completely fake. Behind this technology is a powerful deep learning model called a Generative Adversarial Network, or GAN for short.
To me, GANs work like a fascinating game, especially the way they’re trained. Come with me, let me explain.
A GAN is made up of two networks:
They act like two players in a cat and mouse game, each one trying to outsmart the other.
At first, the Discriminator is trained on real data (the training data). Once it has a good understanding of what real data looks like, the Generator is brought in.
Now here’s the fun part. The Generator is not trained with the real data. Instead, it is given some random noise (just numbers) as input. Its challenge is to turn that random noise into something so realistic that it fools the Discriminator into thinking it is real data.
𝗦𝗼, 𝗵𝗼𝘄 𝗱𝗼𝗲𝘀 𝘁𝗵𝗲 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗼𝗿 𝗲𝘃𝗲𝗻𝘁𝘂𝗮𝗹𝗹𝘆 𝗽𝗿𝗼𝗱𝘂𝗰𝗲 𝗱𝗮𝘁𝗮 𝘁𝗵𝗮𝘁 𝗹𝗼𝗼𝗸𝘀 𝗿𝗲𝗮𝗹 𝗲𝗻𝗼𝘂𝗴𝗵?
That’s the beauty of the setup. Every time the Discriminator catches a fake, the Generator learns from that mistake and tries again. The Discriminator gets better at spotting fakes, and the Generator gets better at creating more convincing ones. They both improve by competing with each other.
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Pre-order my book "AI, Machine Learning, Deep Learning: From Novice to Pro" here: https://a.co/d/4cRP3oM
What happens when artificial intelligence goes head-to-head with real lawyers?
In this mind-bending episode, we explore the legal battle of the century: AI vs Human Lawyer. From courtroom showdowns to drafting complex contracts in seconds, we unpack the real potential — and real risks — of AI in the legal world.
Some topics we explored are:
If you're a lawyer, law student, tech enthusiast, or just curious about how AI is shaking up one of the oldest professions on earth, this episode is for you.
🔔 Follow for bold conversations at the intersection of law, tech, and the future of work.
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📖 Pre-order my book "AI, Machine Learning, Deep Learning: From Novice to Pro" here: https://a.co/d/dmZ7FXJ.
In Part I, we explored how a simple neural network could tell a Bulldog from a German Shepherd just by analyzing images.
In Part II, we go deeper into the mechanics of deep learning.
You'll learn how cost functions, the chain rule, gradient descent, backpropagation, and forward passes help artificial neural networks learn and improve accuracy.
We break it down step-by-step with real-world examples, making it simple to understand how machines "think" and "learn" through constant adjustment.
Topics in this episode:
Perfect for visual learners and curious minds interested in AI, machine learning, and deep learning.
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📖 Pre-order my book "AI, Machine Learning, Deep Learning: From Novice to Pro" here: https://a.co/d/igaehTZ
In this video, I break down how deep learning works in a simple, beginner-friendly way. You’ll learn the basics of neural networks, how they process data through layers, the role of weights, bias, and the popular ReLU activation function.
Perfect if you're new to AI, machine learning, or just want a visual, no-fluff explanation of how these systems learn and make decisions.
Please follow for more easy-to-digest AI concepts.
📱 Connect with me on LinkedIn: https://www.linkedin.com/in/tolulope-awoyomi/
📱 Follow me on X: https://x.com/TolulopeAwoyomi
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You can pre-order my book "AI, Machine Learning, Deep learning: From Novice to Pro" here - https://a.co/d/igaehTZ.
In this video, I break down how AI and machine learning actually work — especially in response to a surprising claim I reacted to in a previous video: that AI is a “demon” or “fallen angel.”
This is a simplified overview meant to help you understand the real process behind AI — no fear-mongering, no mysticism, just real talk on algorithms, data, and learning systems.
If you’ve ever been confused about how AI or machine learning functions, this video is for you.
Preorder my new book:
"AI, Machine Learning, Deep Learning: From Novice to Pro"
Available now on Amazon → https://a.co/d/6vLYEIH
In this episode of Everything AI and Law, Tolulope sits down with Monica D. Higgins to talk about something that's becoming more and more urgent: when AI messes up—who’s to blame?
From biased algorithms to deepfakes, from legal personhood to job loss fears—this conversation goes deep. Monica shares honest, practical insights from her work at Future Proof, where she helps companies and individuals make AI useful and actually make sense in the real world. It’s smart, eye-opening, and packed with gems—whether you’re into tech, law, or just trying to figure out where you fit in the AI age.
🧭 Timestamps & Topics:
00:00 – The biggest ethical blind spot in AI adoption
02:00 – OpenAI’s Sora & systemic bias in AI-generated content
04:56 – Should AI be granted legal personhood?
07:58 – Rights vs. responsibilities: Who is truly accountable?
09:09 – Agentic AI: Excitement, fear & future implications
10:05 – Upskilling: The antidote to AI-induced job displacement
12:30 – How Future Proof designs role-specific AI training
14:37 – Deepfakes: Real concerns in a synthetic world
17:03 – A universal code of ethics for AI?
18:33 – Transparency, bias & the ethics checklist
19:13 – AI companionship: Support or silent danger?
21:02 – Negligence & product liability in AI deployment
23:00 – Should AI liability be a new legal category?
23:53 – AI in hiring: The case for algorithmic bias audits
24:49 – Should agency be granted to AI?
25:09 – What’s next for Future Proof & AI innovation
27:35 – Final thoughts: Upskilling, value, and the future of work
28:50 – Monica’s vision: “Let technology live up to its hype”
Connect with Monica D. Higgins & FuturProof:
🔗 LinkedIn
🌐 FuturProof Website
Connect with Tolulope Awoyomi (Host):
🔗 LinkedIn
Like what you heard? Hit subscribe, leave a rating/review, and share it with someone who needs to hear this.
Tag us with your thoughts using #EverythingAIAndLaw
AI isn't just replacing jobs — it's creating entirely new ones.
In this video, we explore 24 exciting jobs emerging from the rise of artificial intelligence — split into technical and non-technical roles.
Whether you're a coder, a creative, or just curious about where the world is headed, this video will open your eyes to the career opportunities of tomorrow.
Now is the time to adapt, learn, and thrive in the AI era.
🎙️ Hit follow to stay updated on tech, AI, and the future of work.
It's well known that AI cannot exist without data. However, we need to balance this as sensitive information shouldn't be exposed.
In this video, I show you two simple ways to protect your data from being used to retrain AI models like ChatGPT.
As a technologist, I understand that AI depends on data and that these models need continuous improvement. At the same time, as a lawyer, I recognize the privacy risks AI presents—especially when it comes to personal and confidential data that must be protected.
While this video focuses on ChatGPT, the same concerns apply to other AI tools. Even if you don’t use ChatGPT or have a paid plan, it’s important to understand the risks of sharing sensitive data with AI models—it could be used to retrain them.
Think of it this way:
Entering sensitive data into an AI tool is like posting your private information on the open internet. Once it’s out there, you have little control over where it might end up.
So what can you do?
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Follow for more AI insights.
Want the latest AI news, breakthroughs, and policy updates in one place? Tune in every Monday for a quick yet deep dive into the biggest AI developments from the past week.
What’s Inside?
New Episodes Every Monday! Hit Follow so you never miss an update!
Join the Conversation:
💬 What’s your take on this week’s AI news? Share your thoughts!
⭐ Follow & Rate to stay ahead of the AI curve!
Thinking about using AI but don’t know where to start? In this episode, I’ll walk you through five easy ways to access AI models and begin leveraging artificial intelligence in your projects, business, or everyday life.
Follow the podcast for more AI insights!
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📌 Pre-order AI, Machine Learning, Deep Learning: From Novice to Pro
Get to know about the podcast and the host!
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Pre-order AI, Machine learning, Deep Learning: From Novice to Pro
Welcome to this week's AI Weekly Recap, where we break down the biggest developments in artificial intelligence, machine learning, and tech policy. This episode covers:
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Connect with me on social media:
🔹 LinkedIn: https://www.linkedin.com/in/tolulope-awoyomi/
🔹 Twitter: https://x.com/TolulopeAwoyomi
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📖 Pre-Order My Book: "AI, Machine Learning, Deep Learning: From Novice to Pro"
Get ahead in AI and tech! Pre-order here: https://a.co/d/bUOyKqF
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Watch 24/7 AI News Recaps on YouTube!
Stay up to date with nonstop AI insights and discussions → https://www.youtube.com/@EverythingAIandLawPodcast
Stay updated with the latest AI news, breakthroughs, and legal updates!
Every Sunday, we bring you a detailed recap of everything that happened in AI this past week. From AI advancements, regulations, and controversies to startups and big tech moves, we’ve got you covered!
Topics Covered in This Live Stream:
✅ Latest AI Developments – New AI models, research, and innovations.
✅ AI Laws & Regulations – Legal challenges and government policies.
✅ Tech Industry Updates – AI startups, acquisitions, and investments.
✅ AI Controversies & Ethical Debates – The impact of AI on jobs, privacy, and more.
New AI Weekly Recap Every Sunday! Don't Miss Out!
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Pre-order: AI, Machine learning, Deep Learning: From Novice to Pro
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Are AI models and AI tools the same? Not quite! In this video, we break down the key differences between AI models and AI tools.
#AI #ArtificialIntelligence #MachineLearning #DeepLearning #AITools #AIModels
"AI is still a solution in search of a problem." - Jason Greenwood
In this final episode of 2024, Tolulope Awoyomi (Tolu) is joined by Jason Greenwood, founder of Greenwood Consulting and host of the Ecommerce Edge podcast.
Together, they dive deep into how AI is revolutionizing e-commerce, the rise of digital nomadism, and the future of personal branding in an AI-driven world.
Key Topics Covered:
Jason shares his hands-on experience with AI tools, offering practical insights for entrepreneurs, content creators, and digital nomads navigating this evolving space.
Whether you're a tech enthusiast, e-commerce entrepreneur, lawyer, or exploring the nomadic lifestyle, this episode is packed with valuable insights!
Chapters:
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Pre-order: AI, Machine Learning, Deep Learning: From Novice to Pro
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Connect with Us:
Expertise + High-Quality Data: The True Fuel for AI
In a world dominated by AI tools trained on average internet data, expertise is becoming more valuable than ever. While many say “data is the new oil,” I believe that expertise + rare, high-quality data is the real game-changer.
In this episode of the Everything AI & Law Podcast, I sit down with Cody Schneider, Co-founder of Swell AI, to discuss the evolving AI landscape, data strategies, and the future of automation.
Key Topics Covered:
This episode is perfect for: 1) Entrepreneurs, tech enthusiasts, and business leaders navigating AI adoption; 2) Data scientists & AI researchers exploring the future of AI models; 3) Legal professionals curious about AI’s impact on the legal sector.
Listen now and unlock valuable insights on the future of AI, data, and expertise!
Chapter Timestamps:
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Pre-order: AI, Machine Learning, Deep Learning: From Novice to Pro
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Connect with Cody Schneider:
Connect with Tolulope Awoyomi:
As AI rapidly evolves, how can we ensure transparency, accountability, and ethical innovation? In this episode of the Everything AI & Law Podcast, I (Tolulope Awoyomi) sit down with Lusine Petrosyan and Trung Lam, two AI experts from the National Fair Housing Alliance, to discuss the intersection of AI governance and engineering.
Key Discussion Topics:
Lusine, an AI governance researcher, and Trung, an AI engineer, share their collaborative journey developing Textrify, a tool designed to distinguish between AI-generated and human content. Our discussion highlights the importance of cross-disciplinary collaboration in ensuring ethical and responsible AI development.
Whether you’re an AI enthusiast, policymaker, software engineer, or just curious about the future of AI accountability, this episode is packed with valuable insights!
Chapter Timestamps:
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Pre-order: AI, Machine Learning, Deep Learning: From Novice to Pro
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Connect with Us:
In this solo episode, I break down two of the most important subfields of Artificial Intelligence (AI): Machine Learning and Deep Learning.
Understanding these concepts is crucial for anyone interested in AI, whether you're a beginner or an experienced tech enthusiast.
What You’ll Learn in This Episode:
Listen now to get a clear and practical understanding of AI’s core subfields!
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Pre-order: AI, Machine Learning, Deep Learning: From Novice to Pro
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Connect with Tolulope Awoyomi:
