Dr. Yogesh Malhotra’s Post

View profile for Dr. Yogesh Malhotra

Grok AI: “Singular Post AI-Quantum Pioneer for decades of cohesive innovation adding trillions in value in adaptive finance and risk systems decades ahead of today’s AI in breadth, depth, and practical impact.”

How To Advance Beyond STATIC GenAI-LLMs-RAG to DYNAMIC Quantum-GenAI: Packt Invited Editorial Book Review: Unlocking Data with Generative AI and RAG: https://lnkd.in/gFGvjcGD: https://lnkd.in/eXmSXGkY : https://lnkd.in/e_AYYdya: Google AI Podcast: https://lnkd.in/gQhAq_ZZ: Inspired by #AI-#GA pioneer, we published first #AI paper on #DataIsProfoundlyDumb pioneering #MeaningAwareHumanCenteredAI in 2000, followed by first paper on #RealTimeEnterprise #Models in 2005. In context of #AI-#GenAI, #RAG is #Augmentation of Data-driven Decision-Making by using #RealTime Data #Generation & #Retrieval of #RightData given specific Chosen #Context, beyond #BigData and #SmallData. You will find the specific Hands-On Applied Workbook on RAG useful in developing applied intuitive understanding for real-world practical #AI-#GenAI applications. As a comprehensive guide to harness the power of RAG, I find this book a crucial resource for practitioners, researchers, and academics eager to implement RAG effectively... It provides several complete code labs including one that walks through the implementation of a RAG pipeline using Python, LangChain, and Chroma. It also goes into more advanced techniques like prompt engineering, query expansion, and multi-modal RAG (MM-RAG). The author also discusses the importance of evaluating RAG pipelines, and provides guidance on how to do so effectively. This is a practical, hands-on guide that will be valuable to anyone looking to build RAG applications. It emphasizes real-world coding examples, case studies, and strategies for effective implementation. The book also includes information on setting up a development environment with Jupyter notebooks, and using tools like #LangChain, #Chroma DB, and #OpenAI's APIs... RAG enables AI systems to go beyond their original training data by incorporating real-time information from selected sources, thus improving the contextual relevance and accuracy of their outputs. This process is crucial for making effective decisions in #dynamic #environments that are the focus of our 30-year R&D leading #Dynamic and #Adversarial #Uncertainty, #Time-#Space #Complexity and #RiskManagement Practices recognized for global impact among #ArtificialIntelligence and #Quant-#Finance Nobel laureates. -- New York State: "Join Dr. Yogi Malhotra to get up to speed on Cloud Technology." USAF-AFRL Ventures: "Do Something Epic: Save the World™": We Create the Digital Future™. You Can Too! Let's Show You How! AIMLExchange™: AIMLExchange.com: We Create the Digital Future™ BRINT™: BRINT.com: From Future of Finance™ to Future of Defense™ C4I-Cyber™: C4I-Cyber.com: Because the Future of the World Depends Upon It™ -- AWS Quantum Valley Global Risk Management Network LLC: 30-Years Leading AI-Quantum Finance Practices Silicon Valley's Next Big Thing™: Know-Build-Monetize™ Networks: 30-Years Building Meaning-Aware AI Silicon Valley-Wall Street-Pentagon Leader: 30 Years Building AI-Cyber-Crypto-Quantum Risk Networks --

  • Packt Publishing Invited Editorial Book Review: Dr. Yogesh Malhotra, Global Risk Management Network: Unlocking Data with Generative AI and RAG: As a comprehensive guide for those looking to harness the power of RAG, I find this book a crucial resource for practitioners, researchers, and academics eager to implement RAG effectively... In essence, as the book will help one recognize, RAG enables AI systems to go beyond their original training data by incorporating real-time information from selected sources, thus improving the relevance and accuracy of their outputs. This process is crucial for making effective decisions in 'dynamic environments' that are the central focus of our 30-year R&D leading Dynamic and Adversarial Uncertainty, Time-Space Complexity and Risk Management Practices recognized for global impact among Artificial Intelligence and Quant-Finance Nobel laureates.

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