Shhhh! It’s class time!
AI For Begginers
3 classes
Ever wondered what data really is and why it’s so valuable to companies? Or why so many academics are working at Big Tech? Whether you're building a startup, exploring an AI project, or simply curious about how AI works, understanding the power of data is key.
In this class, I delve into the fascinating relationship between data and AI:
What Is Data?
What Is Big Data?
Why Do Companies Want Your Data?
What Is Machine Learning and Why Is It Revolutionary?
Data Quality: No AI Until Data Is Fixed
Bad Data Costs United Airlines $1bn Annually
what is machine learning?
Machine learning sounds fancy, but it’s not as complicated as it seems. In this class, I break it down using just a pen and a paper. The reality is machine learning is really just trial and error. And if you’ve ever taken a statistics class...you’ve done it! There’s a branding problem in economics and statistics—but not in Artificial Intelligence!
In this class, I cover:
The three main phases of machine learning
Creating Machine Learning with pen and paper (it’s literally trial and error!)
What the heck does the "learning" in machine learning mean?
Evaluating our model with new houses
What makes a machine intelligent?
Generative ai vs. traditional ai: what’s the difference?
Everywhere we look on social media and news channels, it’s about AI. Butwhai?
What is Traditional AI
What is Generative AI?
Difference Between Traditional AI and Generative AI
How Does Generative AI Work?
The Rise of Generative AI: What Factors Played a Role?
Big Data Demystified: What You Need to Know
Computing Power and GPUs: The Backbone of AI
Cracking the Code of the “Transformer” Architecture in GPT
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How does AI Work?
AI and ethics
1 class
We should all care about bias in AI. Why? Because algorithms make life-changing decisions about us: whether to hire us for a job, lend us money for a home, or cover our healthcare bill. And you might be rejected not because of facts but because of bias. In this class, I delve into the complex issue of bias in AI:
Why Does AI Bias Happen?
How Companies Can Solve AI Bias?
Real Al Bias Examples: Amazon’s Biased Recruiting Tool / iTutorGroup Sued for Age Bias /OpenAI’s Racial Bias Analysis /Apple’s Card Gender Bias / Microsoft’s Tay and Facebook’s Racist Soap Dispenser
Through these discussions, I hope to foster a deeper understanding of AI bias, its implications, and the potential solutions to ensure fairness and equity in AI applications. After all, AI is incredible and can actually help us eradicate bias if done correctly!
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Decoding AI Bias: What Is It, Why It Exists, and How Can We Fix It?
top companies building ai
3 classes
What happened with the “open” in OpenAI? In this video, I explore the journey of OpenAI, from its inception as a nonprofit research lab aimed at “building value for everyone rather than shareholders”, to its current state as a closed-source entity effectively controlled by Microsoft.
The Open Mission Statement: Elon Musk Named It OpenAI
2015 to 2018: OpenAI Was Open (Sam Altman’s 2015 Wired Interview)
Musk’s Idea: Tesla and OpenAI to Be One
Why Is GPT-2 Closed?
OpenAI Creates a For-Profit Company, OpenAI LP (2019)
What I Really Think Happened
The Importance of OpenAI
google and meta’s ai strategies
Not everyone at Google believes they have a moat in the large language model competition, and neither does OpenAI. Some Googlers think Meta is the clear winner. Mark Zuckerberg has done a fantastic job branding Meta's models as open source. But Llama models are not open. Butwhai?
In this episode, we will discuss:
Google’s LLM History and AI Strategy
Google’s Leaked Memo
Meta’s LLaMA & Model Leaking
Zuckerberg’s “Open Source” LLaMA 2 and LLaMA 3
Why Is Meta Saying Their Models Are Open?
micron technology, asml and dell are key for ai
NVIDIA is AI's biggest winner to date, but the companies enabling NVIDIA’s success might be the next top movers in 2025. Butwhai?
I’ll share with you my top 3 AI stocks for 2025 in a way that everyone can understand and benefit from investing in this explosive sector. Even if you don’t invest in stocks, you’ll learn about three key companies driving AI to the next level. These are critical players in the AI infrastructure, powering everything from advanced GPUs to AI servers.
Discover how memory chips, EUV lithography, and supercomputers are shaping the AI ecosystem:
Micron Technology
ASML
Dell
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what happened with the ‘open’ in openai?
open-source vs. closed source intro
2 classes
What is open-source? How does open-source make money? What are the advantages and disadvantages of open-source? This is the goal of part 1 of the "Open vs. Closed Source Debate" class: to cover the basics.
Most Companies Use Linux
Examples of Open Source Software
Why Would a Company Release Open Source Software?
How Does Open Source Make Money?
The Benefits of Open Source Software
The Drawbacks of Open Source Software
Open vs. Closed source: The ai discussion [part 2]
Some AI players claim that they have open-sourced their models. Can developers access the source code, the weights, and the training data? And why do all of these matter? In this class, I’ll talk about why the definition of 'open' needs reconsideration in generative AI and explain why the availability of weights and training data is crucial to gauge the level of openness of foundation models.
Why Is the Definition of Open Source Misplaced in AI?
How Do Companies Create a Foundation Model?
Source Code, Data, and Weights: A Relationship Analogy
Open Source AI: Source Code, Model Weights, Training Data
Open Source AI Has Not Been Defined Yet
"The Gradient of Generative AI Release" Paper