Last week we introduced how transformer LLMs work, this week we go deeper into one of its key elements—the attention mechanism, in a new course, Attention in Transformers: Concepts and Code in PyTorch, taught by 🪕🎶 Josh Starmer 🪕🎶 founder and CEO of StatQuest! Transformers, the architecture behind models like ChatGPT, rely on attention to process language efficiently. Instead of treating words in isolation, they weigh relationships between them, creating richer, context-aware representations
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Last week we introduced how transformer LLMs work, this week …
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FREE 90 Day AI Engineer Roadmap for 2025 All these resources are available for FREE on Youtube 1. Python Basics - FreeCodeCamp Channel (Week 1) 2. Git, GitHub & Linux - FreeCodeCamp Channel (Week 1) 3. NumPy & Pandas (Data Handling) - CodeBasics Channel (Week 2) 4. Basic Math for ML - 3Blue1Brown Linear Algebra Khan Academy 5. Channel (Probability & Stats) (Week 3, 4) 5. Machine Learning (Practical) - StatQuest YouTube ML series (Regression, Classification, Decision Trees) (Week 4,5,6,7) 6. Deep
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FREE 90 Day AI Engineer Roadmap for 2025 All these resources are a…
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🚀 Want to master Data Science & AI?� Start with the right teachers 🎓 Here are the BEST YouTube channels to learn everything you need: � 🐍 Python – Corey Schafer 📊 Excel – Leila Gharani 💾 SQL – Alex The Analyst 📈 Statistics – StatQuest 🧮 Maths – 3Blue1Brown 📉 Tableau – Tableau Tim 📑 Power BI – Guy in a Cube 🔎 Data Analysis – Alex The Analyst 🤖 Data Science – Krish Naik ⚙️ Machine Learning – CampusX / CodeBasics 🧠 Deep Learning – CampusX / CodeBasics ✨ Generative AI – All About AI, And
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🎙️ Future of Data and AI Podcast: Highlight with Joshua Starmer (CEO & Co-Founder, StatQuest) Can we trust AI when it can hallucinate? In this clip, Josh breaks down why hallucinations aren’t the real problem—and what actually matters when using large AI models. From uncertainty and stochastic behavior to the need for confidence signals, he explains how AI could become more trustworthy over time. 💡 Key insight: AI doesn’t need to be perfect—but it does need to communicate uncertainty so people
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🎙️ Future of Data and AI Podcast: Highlight with Joshua Starmer (CE…
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🎙️ Future of Data and AI Podcast: Highlight with Joshua Starmer (CEO & Co-Founder, StatQuest) How do you make complex ideas simpler without dumbing them down? In this clip, Josh shares the question he asks himself every time he creates an explanation—and why staying true to the original algorithm matters just as much as clarity. 💡 Key insight: Great teaching isn’t about removing depth. It’s about stripping away unnecessary complexity while preserving the spirit of the idea. 🎧 Watch the full e
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🎙️ Future of Data and AI Podcast: Highlight with Joshua Starmer (CE…
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🎙️ Future of Data and AI Podcast: Highlight with Joshua Starmer (CEO & Co-Founder, StatQuest) How did a simple “BAM!”, originally meant to keep viewers awake, become StatQuest's most iconic teaching tools? In this clip, Josh unveils the clever system behind BAM → Double BAM → Triple BAM and why the magic number in every StatQuest video is three. But the real question is: is there such a thing as a Quadruple BAM? 💡 Key insight: Effective teaching isn’t about cramming information — it’s about gi
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🎙️ Future of Data and AI Podcast: Highlight with Joshua Starmer (CE…
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