Generative artificial intelligence is the talk of the town, and everybody wants to know what is large language models that powers the generative artificial intelligence chatbots. However, understanding generative artificial intelligence requires a very technical understanding of deep learning models.And most of the time, practitioners were not coming from a computer science background are unable to understand what it exactly is. We try to simplify the tech for non tech users and have found a very nice video which does the same.
Continue reading “What is a Large Language Model for a Chatbot | TechMadeSimple”Tag: Machine learning
Case Study – Use of Agentic AI in Search Engine Marketing
Breaking News! Google Specialist releases guide to Agentic AI systems
Antonio Gulli’s comprehensive book covers 21 design patterns for building autonomous AI agents, featuring practical frameworks and technical implementation guides for developers. Antonio Gulli, a Google distinguished engineer, has published a comprehensive 400-page technical guide to building autonomous AI systems, offering detailed blueprints for creating sophisticated artificial intelligence agents. Antonio Gulli, Senior Director and Distinguished Engineer in Google’s CTO Office, announced Agentic Design Patterns: A Hands-On Guide to Building Intelligent Systems with a scheduled release date of December 3, 2025. The publication addresses a critical gap in AI development methodology. According to Gulli, building effective agentic systems requires more than just a powerful language model—it demands structured architectural blueprints. “It’s about moving from raw capability to robust, real-world applications,” Gulli stated in the book’s introduction. The guide presents 21 distinct agentic patterns that serve as fundamental building blocks for autonomous AI systems. These patterns range from foundational concepts such as Prompt Chaining and Tool Use to advanced implementations including Multi-Agent Collaboration and Self-Correction frameworks. Each pattern represents a reusable solution to common challenges encountered when building intelligent, goal-oriented systems
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Demystifying Artificial Intelligence using Set Theory
The Evolution of Artificial Intelligence: From Logic to Learning
Artificial Intelligence (AI) has evolved from a theoretical curiosity into a transformative force reshaping industries, societies, and human potential. Its journey spans decades of innovation, marked by paradigm shifts—from symbolic reasoning to statistical learning, and now to generative intelligence. Understanding this evolution reveals not just technological progress, but a deeper narrative about how machines have come to mimic, augment, and even challenge human cognition.
Continue reading “Demystifying Artificial Intelligence using Set Theory”Impact of artificial intelligence on employees working in industry 4.0 led organizations
Citation
Malik, N., Tripathi, S.N., Kar, A.K. and Gupta, S. (2021), “Impact of artificial intelligence on employees working in industry 4.0 led organizations”, International Journal of Manpower, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJM-03-2021-0173
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