68: Can an LLM Lie? Inside Large Language Models with AI Expert Sairam Sundaresan Podcast By cover art

68: Can an LLM Lie? Inside Large Language Models with AI Expert Sairam Sundaresan

68: Can an LLM Lie? Inside Large Language Models with AI Expert Sairam Sundaresan

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Summary:Anastassia and Sairam delve into the complexities of Large Language Models (LLMs), exploring their inner workings, practical applications for small business owners, and the ethical concerns surrounding their use. They discuss the phenomenon of hallucinations in LLMs, the potential for synthetic data, and the future of AI, including the quest for Artificial General Intelligence (AGI). Sairam shares insights on how small businesses can leverage LLMs effectively while addressing the importance of data quality and the implications of AI on society.Guest Bio — Sairam Sundaresan:Sairam Sundaresan is an AI engineer, educator, and author based in Chennai, India, with a Master's degree from the University of Michigan. He spent eight years at Qualcomm, working on groundbreaking computer vision and machine learning projects for multimedia applications — including real-time 3D reconstruction and cutting-edge object tracking algorithms featured in Forbes. His work lives in the smartphones that billions of people use every day.Beyond engineering, Sairam is an educator at heart. He served for three years as a Machine Learning Lead and Mentor at the Frontier Development Lab, a prestigious research programme at the intersection of AI and space science — and the work of his team was personally recognised by Google CEO Sundar Pichai.Today, Sairam reaches a global audience through his widely read Gradient Ascent newsletter on Substack, where he breaks down complex AI concepts for curious non-technical readers, and through his book AI for the Rest of Us* — a practical, jargon-free guide to understanding artificial intelligence that has made him one of the most trusted AI voices for everyday audiences worldwide.Takeaways:LLMs are a class of neural networks inspired by the human brain.They learn patterns from vast amounts of data to predict text.The deep learning revolution in 2012 enabled significant advancements in AI.Hallucinations in LLMs are a feature, not a bug, due to their predictive nature.Small business owners can utilize LLMs for organizing and content creation without needing extensive technical knowledge.Synthetic data can amplify errors and biases if not curated properly.The future of AI may involve integrating ontologies for better understanding and causality.AGI remains an amorphous concept, with no clear path to its realization.The need for ethical considerations in AI development is paramount, especially regarding data sourcing.AI developers are often motivated by a desire to improve human life and the planet.Chapters:0:05 Introduction to the episode and Sairam’s work4:28 Introduction to Large Language Models (LLMs)5:42 Understanding Neural Networks and Deep Learning8:18 Challenges and Opportunities with LLMs12:49 Practical Applications for Small Business Owners19:47 Ethical Considerations and Data Concerns32:51 Future of AIHyperlinks:linkedin.com/in/sairam-sundaresanGradient Ascent Newsletter:newsletter.artofsaience.com — Weekly AI guide trusted by over 27,000 subscribers, including teams at Silicon Valley's top tech firms and academic labsBook — AI for the Rest of Us, Apple Books: books.apple.com/us/book/ai-for-the-rest-of-us/id6751973560Anastassia Lauterbach - LinkedInFirst Public Reading, Romy, Roby and the Secrets of Sleep (1/3)First Public Reading, Romy, Roby and the Secrets of Sleep (2/3)First Public Reading, Romy, Roby and the Secrets of Sleep (3/3)AI Snacks with Romy and Roby@romyandroby“Leading Through Disruption”AI EdutainmentThe AI Imperative BookRomy & Roby BookSubstack
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