AI Notes

 

 The terms AI agents and agentic AI are related but differ in nuance and scope. Here’s a clear comparison: AI Agents Definition: AI agents are systems or programs that perceive their environment and take actions to achieve specific goals, often autonomously. Examples: A ServiceNow virtual agent answering support queries. A robot vacuum navigating a room. A UiPath bot processing invoices. Key Traits: Goal-oriented Reactive or proactive Often task-specific May or may not use advanced reasoning or planning Agentic AI Definition: Agentic AI refers to AI systems that act with a high degree of autonomy, decision-making, and long-term goal pursuit, often mimicking human-like agency. It’s a broader concept that includes advanced AI agents with: Strategic planning Goal formulation Tool use Multi-step reasoning Examples: AutoGPT / Devin / OpenAI’s Superalignment agents AI that autonomously writes code, tests it, deploys it, and monitors outcomes...

Let's explore how to design, build, and deploy intelligent AI agents that go beyond chatbots—powered by real-world frameworks, tools, and implementations.   🤖 What is an AI Agent (and When to Use One)   🧠 Designing the Agent Core: Model, Tools, and Instructions   🛠️ Step-by-Step Framework to Build an AI Agent   🔐 Guardrails, Testing, and Human Oversight  Guide to build Agents:  a-practical-guide-to-building-agents.pdf Building Effective AI Agents \ Anthropic https://youtu.be/LCEmiRjPEtQ?si=HlPHcj4-yucWU9XX What is What? a) Pyautogui + Python b) Selenium + Python c) N8N, Make d) Upath Tools e) Langchain + Python