C4: Container, Code, Cloud & Context
Designing intelligent systems, one layer at a time. ~ Nithin Mohan T K
Introduction Welcome to a fascinating journey into the world of AI innovation! Today, we delve into the realm of Retrieval-Augmented Generation (RAG) – a cutting-edge technique revolutionizing the way AI systems interact with external knowledge. Imagine a world where artificial intelligence not only generates text but also taps into vast repositories of information to deliver […]
Read more →Introduction: LLMs generate text, but applications need structured, reliable data. The gap between free-form text and validated output is where many LLM applications fail. Output validation ensures LLM responses meet your application’s requirements—correct schema, valid values, appropriate content, and consistent format. This guide covers practical validation techniques: schema validation with Pydantic, semantic validation for content […]
Read more →The AI landscape has shifted dramatically. While chatbots dominated for years, we’re now witnessing something far more powerful: autonomous AI agents that don’t just respond—they plan, execute, and accomplish goals. Chatbot vs AI Agent Aspect Chatbot AI Agent Purpose Respond to prompts Achieve goals autonomously Behavior Reactive (one-shot) Proactive (multi-step) Planning None Breaks goals into […]
Read more →Series finale! Complete the Google ADK journey with advanced patterns, production insights, and next steps. Thank you for following this comprehensive 5-part series on agent development.
Read more →This is a final series to conclude and summarize the key topics covered in previous 8 blogs: DevSecOps is an approach to software development that emphasizes integrating security into every stage of the software development lifecycle. Application security and immutable infrastructure are two key practices that can help organizations achieve this goal. Application Security Application […]
Read more →Introduction: Tokens are the currency of LLM applications—every token costs money and consumes context window space. Efficient token usage directly impacts both cost and capability. This guide covers practical token optimization techniques: accurate token counting across different models, content compression strategies that preserve meaning, budget management for staying within limits, and prompt engineering patterns that […]
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