Tag: Agentic AI

Learn to build and deploy advanced AI applications using prompt engineering and agentic AI workflows, focusing on practical, …

Learn to secure AI systems, including Large Language Models (LLMs) and agentic applications, by understanding and mitigating prompt …

Understand the landscape of on-device AI agents and tiny LLM systems, set up your development environment, and explore core tooling for edge …

Connect on-device Speech-to-Text (STT) output to a local TinyLLM for intent recognition and entity extraction, forming the core of your AI …

Master the art of crafting precise and secure prompts using system messages, effective delimiters, and structured output control for …

Unlock robust LLM reasoning with Chain-of-Thought and Self-Consistency. Learn to guide LLMs through complex problems, improving accuracy and …

Unpack the core components of an Agentic AI system: the LLM brain, crucial memory, external tools, and intelligent planning mechanisms. …

Learn how to orchestrate complex AI agents using popular frameworks like LangChain and LlamaIndex, integrating LLMs, tools, and memory for …

Extend your AI agents' capabilities by integrating custom tools and external APIs to access real-time data and perform actions beyond their …

Explore persistent agent memory, distinguishing between short-term context and long-term knowledge bases for robust, production-ready AI …

Dive into advanced design patterns for building robust, scalable, and reliable AI agents ready for production environments.

Learn to rigorously evaluate and test your prompts and AI agents for accuracy, reliability, cost-efficiency, and safety in production …