A Few Things Every Professional Should Know about Artificial Intelligence

In this episode I break down a few essential insights about artificial intelligence: from narrow AI vs. AGI to deep learning, NLP, bias, generative models, cybersecurity, and explainability. (yes, this was more painful for me to record than it will be for you to listen) If you a professional hoping to increase your AI literacy, this episode gives you a clear, practical understanding of where AI is today, how it works, and why it matters.

You can also download my free PDF

42 Things about AI Every Professional Should Know

I've put together a comprehensive list of 42 things about AI everyone should know. It covers, at the surface level, the minimum you should know about AI; from basic concepts to advanced techniques, and practical applications to theoretical frameworks.

This includes includes detailed explanations for:

Industry applications and transformations

Technical concepts like machine learning vs deep learning

Model types and their trade-offs

Ethical considerations and societal impacts

Practical implementation approaches

Evaluation metrics and best practices

Each answer provides insights that would be valuable for interviews, studying, or improving your general AI literacy.

You can find your free PDF copy here: https://docs.google.com/document/d/14oNLdg4G-hL9q9QdBPWJZA_lKwaCaGh17-mysY50bpw/edit?usp=sharing

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