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𝗪𝗮𝗻𝘁 𝘁𝗼 𝗯𝗲𝗰𝗼𝗺𝗲 𝗮𝗻 𝗔𝗜 𝗺𝗮𝘀𝘁𝗲𝗿 𝗶𝗻 2025? Learn AI from the ground up with these 𝗙𝗥𝗘𝗘 YouTube channels that make it all crystal clear Let’s be honest—YouTube can teach you more about AI than a lot of university degrees, From beginner to expert, here are the top channels on AI, which provide the insights, techniques, and real-world applications you need to level up your AI game. 𝗛𝗲𝗿𝗲 𝗮𝗿𝗲 𝘁𝗵𝗲 8 𝗺𝘂𝘀𝘁-𝗳𝗼𝗹𝗹𝗼𝘄 𝗬𝗼𝘂𝗧𝘂𝗯𝗲 𝗰𝗵𝗮𝗻𝗻𝗲𝗹𝘀 𝗳𝗼𝗿 𝗺𝗮𝘀𝘁𝗲𝗿𝗶𝗻𝗴 𝗔𝗜 𝗮𝘁 𝘆𝗼𝘂𝗿 𝗼𝘄𝗻 𝗽𝗮𝗰𝗲: 1. 𝗧𝘄𝗼 𝗠𝗶𝗻𝘂𝘁𝗲 𝗣𝗮𝗽𝗲𝗿𝘀 – Bite-sized knowledge from the latest AI research: 🔗 https://lnkd.in/d2MWB7a9 2. 𝗗𝗲𝗲𝗽𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗔𝗜 – Courses and tutorials from the industry’s leading experts: 🔗 https://lnkd.in/dKxtcCCU 3. 𝗟𝗲𝘅 𝗙𝗿𝗶𝗱𝗺𝗮𝗻 – In-depth interviews with AI pioneers and innovators: 🔗 https://lnkd.in/dyZe9v8m 4. 3𝗕𝗹𝘂𝗲1𝗕𝗿𝗼𝘄𝗻 – Math behind machine learning made visually beautiful (my favorite): 🔗 https://lnkd.in/dfEuTf_r 5. 𝗔𝗻𝗱𝗿𝗲𝗷 𝗞𝗮𝗿𝗽𝗮𝘁𝗵𝘆 – Former OpenAI expert breaks down complex topics with simplicity: 🔗 https://lnkd.in/dFjV3j4d 6. 𝗦𝗲𝗻𝘁𝗱𝗲𝘅 – Practical, hands-on tutorials that get you coding AI: 🔗 https://lnkd.in/dXX3xCTE 7. 𝗠𝗮𝘁𝘁 𝗪𝗼𝗹𝗳𝗲 – Explore AI, machine learning, and cutting-edge tech with Matt: 🔗 https://lnkd.in/d798mz9h 8. 𝗚𝗼𝗼𝗴𝗹𝗲 𝗬𝗼𝘂𝗧𝘂𝗯𝗲 𝗖𝗵𝗮𝗻𝗻𝗲𝗹 – Google’s AI and deep learning resources for everyone: 🔗 https://lnkd.in/dcFDps-3 𝗕𝗢𝗡𝗨𝗦: 𝗖𝗵𝗲𝗰𝗸 𝗼𝘂𝘁 𝘁𝗵𝗲𝘀𝗲 𝘁𝗼𝗽 𝗔𝗜-𝗳𝗼𝗰𝘂𝘀𝗲𝗱 𝗯𝗹𝗼𝗴𝘀 𝘁𝗼 𝗹𝗲𝘃𝗲𝗹 𝘂𝗽 𝘆𝗼𝘂𝗿 𝗸𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗳𝘂𝗿𝘁𝗵𝗲𝗿: 1. 𝗧𝗼𝘄𝗮𝗿𝗱𝘀𝗗𝗮𝘁𝗮𝗦𝗰𝗶𝗲𝗻𝗰𝗲: https://lnkd.in/dyasxKUU 2. 𝗢𝗽𝗲𝗻𝗔𝗜 𝗕𝗹𝗼𝗴: https://openai.com/news/ 3. 𝗠𝗮𝗿𝗸𝗧𝗲𝗰𝗵𝗣𝗼𝘀𝘁: https://lnkd.in/dxb3yCJs 4. 𝗗𝗲𝗲𝗽𝗠𝗶𝗻𝗱 𝗕𝗹𝗼𝗴: https://lnkd.in/du9i_m3x 5. 𝗔𝗻𝘁𝗵𝗿𝗼𝗽𝗶𝗰 𝗕𝗹𝗼𝗴: https://lnkd.in/dS-P3ktx 6. 𝗕𝗲𝗿𝗸𝗲𝗹𝗲𝘆 𝗕𝗮𝗶𝗿: https://bair.berkeley.edu/ 7. 𝗛𝘂𝗴𝗴𝗶𝗻𝗴𝗳𝗮𝗰𝗲 𝗕𝗹𝗼𝗴: https://lnkd.in/dTqzeHJ4 This is your shortcut to understanding the world of AI—no degree needed There's a wealth of knowledge out there; we just have to dig it up. Which channels and blogs do you follow for AI learning? What is missing?
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Give me 2 minutes, I will tell you How to Learn Reinforcement Learning for LLMs A humorous analogy for reinforcement learning uses cake as an example. Reinforcement learning, much like baking a cake, involves trial and error to achieve a desired ou
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Day 1/100 : FREE AI Resource Sharing Topic of Day: History Of Artificial Intelligence(AI) Books ↳"Artificial Intelligence: A Modern Approach" by Stuart Russell and Peter Norvig https://lnkd.in/gzSCYnf9 ↳ "The Master Algorithm: How the Quest for t
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If I were learning RAG from scratch in 2025... here's exactly how I'd do it. But here I bring you the ultimate resource list for absolutely no cost. RAG is one of the most practical, production-ready LLM patterns today. Here's All you need to get s
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The best way to learn about LLMs is to read the actual papers that highlight the fundamental ideas behinds LLMs. I'd prob first start off by learning about the attention mechanism which can be detailed in the following paper and try to implement a
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