{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/655148df2861630012a1d01b/67028dd2c88f09c3e0ab8699?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Harper Carroll: How Machine Learning Works, What AI Engineering is, the Future of AI","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/655148df2861630012a1d01b/1728220543273-c364cae6-1bd2-4a2a-ac1c-091fae087c3f.jpeg?height=200","description":"<p>Links</p><p>- Codecrafters (sponsor): https://tej.as/codecrafters</p><p>- React Africa (partner): https://react-africa.com/</p><p><br></p><p>- Harper Carroll: https://harpercarrollai.com/</p><p>- 10 Days of AI Basics Course: https://www.youtube.com/watch?v=Ie7qxG9os1U&amp;list=PL-ocKywdn6lE9l4LIPL4gMY4nNRfjEswG&amp;pp=iAQB</p><p>- Harper on X: https://x.com/harperscarroll</p><p>- Isabelle Boemeke on X: https://x.com/isabelleboemeke</p><p>- Tejas on X: https://x.com/tejaskumar_</p><p><br></p><p>Summary</p><p><br></p><p>In this enlightening conversation with Harper Carroll, we dove deep into the world of AI, covering everything from the basics of neural networks to the cutting-edge concepts of AI agents. Harper's expertise, stemming from her 10 years of Stanford education, provided invaluable insights into the inner workings of machine learning models. </p><p><br></p><p>We explored the environmental impact of AI and the potential role of nuclear energy in sustaining AI development. Harper's balanced view on AI's future was refreshing, emphasizing its potential for optimization rather than doom-and-gloom scenarios. The discussion concluded with thought-provoking reflections on AI's potential to free humanity for more creative pursuits and its possible connection to fundamental universal principles of peace and love.</p><p><br></p><p>Chapters</p><p><br></p><p>00:00:00 Intro</p><p>00:06:09 What is AI?</p><p>00:11:34 Machine Learning Deep Dive</p><p>00:17:08 Impostor Syndrome</p><p>00:22:11 Machine Learning Deep Dive Continued</p><p>00:28:04 What are Hidden Layers?</p><p>00:34:29 Model Architectures</p><p>00:37:04 How do embeddings models work?</p><p>00:40:23 AI Engineering Deep Dive</p><p>00:48:06 Smaller specialized models vs. LLMs (Large Language Models)</p><p>00:49:57 Hallucinations and RAG</p><p>00:52:16 Fine-tuning a model and blends</p><p>00:55:24 RAG vs. Fine-tuning</p><p>01:00:31 RAG Explained</p><p>01:04:15 Machine Learning Evals</p><p>01:10:28 Backpropagation</p><p>01:12:44 AI Agents</p><p>01:16:25 Agentic RAG</p><p>01:17:51 AI and Energy: The rise of nuclear power</p><p>01:25:06 AI Optimism vs. Doomerism</p><p>01:31:27 AGI and Superintelligence</p><p>01:36:22 Hope for the future with AI</p><p>01:41:03 Conclusion</p><p><br></p>","author_name":"Tejas Kumar"}