Introducing: 10 Days of AI Basics! Day 1: What is AI, and how does it relate to ML (machine learning)? This is, by far, the most requested series, so I’m really excited to begin! if you don’t know me, I’m Harper, and I received my Bachelor’s and Master’s degrees from Stanford University in computer science in artificial intelligence. I have always loved to teach, and at Stanford I TA’d multiple computer science courses, including a PhD-level core AI course, Decision Making Under Uncertainty. I w
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Introducing: 10 Days of AI Basics! Day 1: What is AI, and how does i…
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From one Stanford computer science ai degree… to a second… to building AI/ML at Facebook… to teaching ai online for my startup… to becoming an ai educator with over 500K educated… grateful that I took the risk. I hope you will too. | Harper Carroll AI
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How to train your boyfriend (using insights from AI model training) lol but this really does apply to everything. Let me know if you want me to make more videos about this with more examples of how I use it in everyday life. Computer science scientist | artificial intelligence | machine learning | algorithms to live by | relationships | ai agents
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How to train your boyfriend (using insights from AI model training) lo…
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How AI Reasoning Works and Why It Matters | Harper Carroll posted on the topic | LinkedIn
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How AI Reasoning Works and Why It Matters | Harper Carroll posted on …
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Harper Carroll AI | Expert Ed (@harpercarrollai) - Understanding the Chaotic Nature of AI Systems
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Harper Carroll AI | Expert Ed (@harpercarrollai) - Understandin…
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New “reasoning” models are causing a major buzz in the AI / LLM (Large Language Model) space. These models are designed to enhance complex problem-solving by explicitly “thinking” through steps, often showing their “work” and improving accuracy on tasks like math, coding, and logic. While “thinking” tokens don’t solve the problem of interpretability, it might give some useful insights about the structure of the model’s reasoning. As says, “the model still remains a black box… much like our own m
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