AI Coach - Anil Nathoo

Anil Nathoo

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AI Coach - Anil Nathoo

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!

4 DAYS AGO

#39 - AI Powered Education - Training Agents to learn

This podcast series explores the potential of AI in education, focusing on self-learning and teaching AI systems. It details how AI can learn through reinforcement and self-supervised learning, utilising technologies like vector databases and knowledge graphs to store and retrieve information effectively. It then guides listeners through designing an AI tutor, including adaptive learning systems and interactive interfaces, and finally discusses the future of AI-powered education, addressing ethical considerations and potential advancements. The accompanying article offer a comprehensive roadmap for building AI tutors and provide a detailed technical overview.

15 min
JAN 12

#38 - Digital Twin for Decision Intelligence (DT4DI)

Click here to read the article. This podcast explains the DT4DI is a framework that combines digital twins, artificial intelligence (AI) and decision intelligence to improve decision-making processes. It utilises digital twins, which are virtual replicas of physical systems that are updated with real-time data, to simulate scenarios and predict outcomes. By combining AI and machine learning, DT4DI enables companies to convert data into actionable insights, which helps with strategic decision-making. This approach helps organisations to move beyond traditional business intelligence by using advanced technologies to become knowledge-driven and results-oriented. The key components of a DT4DI system are: digital twin (DT) platforms artificial intelligence (AI) and machine learning (ML) decision intelligence (DI) framework data management and analytics These components work together to enable organisations to make data-driven decisions more efficiently.

25 min
JAN 3

#37 - Mastering Machine Learning: A Beginner's Guide

Click here to read the article. This is an introductory guide to machine learning (ML), covering fundamental concepts and various types including supervised, unsupervised, self-supervised, reinforcement, and semi-supervised learning. The guide details the applications of each type, highlighting key differences between supervised and unsupervised approaches. It also addresses common challenges in ML such as data bias and the need for responsible AI development. Finally, it explores the future of the field, focusing on emerging trends like generative AI and edge computing, and provides learning resources for aspiring practitioners.

21 min
JAN 1

#36 - KAG Framework - Builder, Solver & Model

Click here to read the article. This podcast describes the Knowledge Augmented Generation (KAG) Framework. There are 3 main components: KAG-Builder (for offline indexing), KAG-Solver (for hybrid reasoning), and KAG-Model (for optimisation). The framework leverages Natural Language Understanding (NLU), Natural Language Inference (NLI), and Natural Language Generation (NLG) – core NLP processes – to enable the system to understand, reason with, and generate human-like text. NLU interprets input, NLI establishes logical connections, and NLG produces coherent outputs. In essence, KAG integrates knowledge construction, reasoning, and model optimisation for advanced text processing.

13 min
JAN 1

#35 - Knowledge Augmented Generation (KAG) explained

Click her to read the article. This podcast covers Knowledge Augmented Generation (KAG), a novel AI framework designed to improve Large Language Models (LLMs) in professional fields. KAG addresses limitations of existing retrieval-based systems by incorporating knowledge graphs and advanced logical reasoning capabilities. This allows for more accurate and contextually relevant responses, particularly in complex, multi-step queries. The framework comprises three core components: KAG-Builder, KAG-Solver, and KAG-Model, working together to process information and generate professional-level outputs. The system's efficacy is demonstrated through successful applications in e-government and e-health, significantly outperforming traditional AI systems in accuracy and logical reasoning.

12 min
12/31/2024

#34 - Building SaaS with AI Agents in 7 steps

Click here to read the article. The rise of Large Language Models (LLMs) like OpenAI’s GPT and the growing interest in autonomous agents have reshaped how software-as-a-service (SaaS) applications are conceptualized and built. Leveraging these technologies can enable dynamic, adaptive, and intelligent software solutions. This podcast explores how to build a SaaS application using agents and LLMs, from architecture design to deployment in 7 steps: Define the Problem and Business Requirements Choose the Right Technology Stack Design the Architecture Develop Core Components Test and Validate the Application Deploy and Monitor the Application Iterate and Optimize

18 min
12/30/2024

#33 - Vector Database and AI

Click here to read the article. This podcast explores vector databases, their architecture, and applications in AI. It explains how vectors represent high-dimensional data, detailing core database architecture, indexing techniques (like HNSW and FAISS), and distance metrics. The article then examines various applications including semantic search, recommendation systems, and anomaly detection, across diverse sectors. Finally, it discusses challenges like scalability and data privacy, outlining future directions in indexing, real-time processing, and ethical considerations, and provides an overview of popular vector databases such as Pinecone and Weaviate.

10 min
12/27/2024

#32 - 2025 AI Trends

Click here to read the article. This podcast from AI Coach explores key artificial intelligence trends predicted for 2025, focusing on technologies offering businesses a competitive edge. It examines foundational technologies like agentic AI and multimodal AI, alongside advancements in customer experience, cybersecurity, and infrastructure. The podcast also highlights emerging technologies such as edge AI, small language models, and generative video, while addressing crucial considerations around energy efficiency, responsible AI, and ethical implementation. Finally, it outlines essential technical, business, and ethical skills needed to leverage these AI trends effectively.

15 min

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!

Creator

Anil Nathoo
Years Active

2K
Episodes

39
Rating

Clean
Copyright

© Anil Nathoo
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AI Coach - Anil Nathoo