Click here to read more.This podcast examines the transformative potential of Artificial Intelligence (AI) in education, focusing on the concept of AI as both a self-learning entity and an effective teacher. It explains core technologies like Reinforcement Learning (RL) and Self-Supervised Learning (SSL) that enable AI to learn autonomously, alongside methods for knowledge storage using vector databases and knowledge graphs. Furthermore, it discuss the design of adaptive tutoring systems and interactive learning interfaces, outlining how AI can personalise education and engage students. Finally, they explore the future impact of AI in education, considering both its benefits and challenges, including ethics, data privacy, and the evolving role of human teachers.
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60 - What Are Large Language Models?
Click here to read more.The podcast provides a detailed overview of Large Language Models (LLMs), exploring their fundamental concepts and evolution. It discusses the shift in Natural Language Processing (NLP) towards a pre-training and fine-tuning paradigm, highlighting key architectures like encoder-only, decoder-only, and encoder-decoder models. The podcast explains core processes such as pre-training, self-supervised learning, and fine-tuning, using examples like BERT. Furthermore, the sources describe how prompting and in-context learning are used to guide model behaviour without extensive retraining. A significant focus is placed on the critical aspect of aligning LLMs with human intent through methods like supervised fine-tuning and Reinforcement Learning from Human Feedback (RLHF). Finally, the podcast address the practical challenges and strategies involved in scaling LLM training and handling long sequences.
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59 - Multi-Agent Communication
Click here to read more.This podcast covers the research paper titled “A Survey of Protocols for Inter-Agent Communication in Multi-Agent Systems” by Sita Kumari and Dr. M. R. Rizvi. It provides an in-depth examination of the communication strategies used among software agents within distributed systems, which is a foundational aspect of artificial intelligence and automation. It covers inter-agent communication in Multi-Agent Systems (MAS), highlighting its fundamental role in enabling intelligent and collaborative behaviour among autonomous entities. The text outlines the characteristics of MAS agents, including autonomy and social ability, and explores the significance of structured communication protocols for coordination and negotiation. Various types of protocols like the Contract Net Protocol and Auction-Based Protocols are discussed, alongside key communication languages such as KQML and FIPA-ACL, which provide the syntax and semantics for agent interaction. The evaluation of these protocols based on efficiency, scalability, and robustness is examined, and future directions in this field, such as enhanced flexibility and learning-based communication, are identified. Overall, the sources underscore that effective communication is crucial for MAS to operate successfully in diverse and dynamic environments.
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58 - AI Value Creators
Click here to read the articleThis podcast provides an overvoew of the book "AI Value Creators," by Rob Thomas, Paul Zikopoulos, and Kate Soule.It covers:Recognize the transformative potential of AI in business and how to harness itNavigate the ethical and operational challenges posed by AI with confidenceUnderstand the dynamic interplay between AI technology and business strategyImplement actionable strategies to integrate AI into your organizational cultureStep confidently into the role of an AI value creator, equipped to lead and innovate
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#57 - Digital Twins: Business Success Partner
Click here to read more.This podcastprovides a comprehensive overview of digital twins in business, explaining that they are virtual representations of physical entities or processes created using real-time data to enable monitoring, analysis, and optimisation. It highlights their relevance across various industries like manufacturing, retail, and healthcare, outlining numerous benefits such as increased efficiency, improved decision-making, and reduced downtime. The podcast also addresses the significant challenges associated with implementation, including cost, data integration complexities, and security risks, while discussing the future potential driven by advancements in AI and connectivity. Finally, it offers resources for further learning and implementation.
AI Coach Podcast
Welcome to the AI Coach Podcast—your go-to resource for Artificial intelligence.
Each episode offers actionable insights, expert advice, and innovative strategies to help you achieve your AI goals.
Whether you’re looking to boost your career, sharpen your skills, or improve your mindset, I’m here to guide you every step of the way.
Let’s grow, learn, and thrive together!
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