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#4551 Google Agent Development Kit (ADK)

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#4551 Google Agent Development Kit (ADK) #4551  From simple to more complex, explain Google Gemini Agent Development Kit (ADK) The Google Gemini Agent Development Kit (ADK) is an open-source development framework designed to let you build, test, and scale AI-driven applications. Instead of just sending a prompt to an AI and getting a single text response, ADK allows you to build autonomous systems that can reason, remember context, use external tools, and collaborate with other AIs. 1. The Simple Level: The Core Brain At its most basic level, an agent is an AI with a specific personality and job description. ADK breaks this down into three core concepts: The Agent: The "brain" powered by Gemini. You define its mission through system instructions (e.g., "You are a helpful travel planner" ). The Session: The agent's memory. It saves the ongoing conversation so the AI remembers what you said three turns ago. The Runner: The engine that executes ever...
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#4550 AI Architectures and Applications

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#4550 AI Architectures and Applications #4550  List and describe the progression of framework for machine learning and AI The evolution of machine learning (ML) and artificial intelligence (AI) frameworks mirrors the shift in how we instruct computers: moving from explicit, rule-based instructions to data-driven statistical models, then to massive neural networks, and finally to agentic, generative orchestration layers. Here is the chronological and technological progression of AI/ML frameworks. 1. The Symbolic & Rule-Based Era (1960s – 1980s) Before computers learned from data, AI was dominated by Symbolic AI and Expert Systems . The frameworks of this era focused on formal logic, explicit "if-then" rules, and processing symbols. LISP (1958) & Prolog (1972): While programming languages rather than specialized frameworks, they served as the foundational environments for early AI. Prolog introduced built-in logical deduction engines. CLIPS / JESS (1980s): Specialize...
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