The fascinating world of Generative AI (Gen AI) and its revolutionary impact on designing and implementing advanced artificial intelligence solutions. We’ll dive deep into how Gen AI is transforming autonomous systems and agent-based workflows. From understanding the role of large language models (LLMs) like GPT-4, to uncovering how these intelligent agents are changing industries, let's explore how Gen AI is shaping the future of AI-driven technologies. In previous post we described how to implement GEN AI using Large Language Models, LLM, and Small Language models, SML, using python. In this post we discuss how these can be used in designing autonomous agent-based solutions. [Scene 2: What is Generative AI?] At the heart of these advancements lies Generative AI—a sophisticated form of artificial intelligence designed to operate autonomously. But what does this mean exactly? A Generative AI agent is an advanced AI system that can make decisions, handle tasks, and navigate complex workflows independently. Unlike traditional AI systems, which rely heavily on pre-programmed static rules and human oversight, a Generative AI agent has the ability to analyse information and adapt in real-time
