Machine Learning and AI expert Shivay Lamba, discusses the evolution of machine learning tools, and his work on MLOps and deploying large language models (LLMs). The conversation covers the accessibility of AI, the power of JavaScript in machine learning through tools like TensorFlow.js, and the growing importance of ethical AI practices. Shivay also discusses the transition of web-based AI tools, the importance of transfer learning, and how developers can break into the space of AI and machine learning. Chapters 1. Shivay’s Journey into Machine Learning (00:00 - 03:30) 2. The Power of TensorFlow.js and Web AI (03:31 - 07:00) 3. Challenges in Hackathons: Using Pre-trained Models (07:01 - 10:00) 4. Navigating the AI Ecosystem: Python vs. JavaScript (10:01 - 13:30) 5. LLMs and Their Growing Popularity (13:31 - 17:00) 6. The Importance of Core Machine Learning Knowledge (17:01 - 20:00) 7. AI Ethics & Challenges in Scaling Models (20:01 - 23:00) 8. Shivay’s Content & Community Involvement (23:01 - 25:00) 9. Conclusion & Final Thoughts (25:01 - End)

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Github: https://github.com/shivaylamba

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