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🧠 Day 2 Agentic AI Quiz: LLM vs Agent | Hard Level

Hard Level 🧠 Hard Quiz: LLM vs Agent – Advanced Architecture & System Design 🔥 Challenge your understanding of system-level distinctions 🏗️ Analyze agent orchestration, tool usage, and memory

Agentic AI
5Questions10Minutes60%To Pass0Attempts

Study Material: Agentic AI

Day 2: LLM vs Agent – What’s the Real Difference?
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swati_goyal_911

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Before You Start

Here's the quick read on timing, scoring, and what the attempt will feel like once you begin.

Duration

10 minutes

Questions

5 total

Pass score

60% required

Marking

No negative marking

During the test

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What to expect

  • You have 10 minutes to complete this quiz.
  • The quiz contains 5 questions.
  • You need 60% or higher to pass.
  • You can navigate between questions using the question grid.
  • The timer cannot be paused once the quiz starts.
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🤖 Day 6 of Agentic AI Series ---------------------------- Tools and Tool-Calling in Agentic AI 🔧 An AI agent becomes truly powerful when it can DO things, not just talk. This is where tools and tool-calling come into play. Let’s understand how tools work in Agentic AI 👇 🧠 What Are Tools in Agentic AI? Tools are external functions or systems that an AI agent can use to perform actions beyond text generation. Examples of tools: - APIs - Databases - Search engines - Code execution - File systems Tools allow agents to interact with the real world. 🔗 What Is Tool-Calling? Tool-calling is the process where an AI agent: - Understands the task - Chooses the right tool - Sends correct inputs to the tool - Receives the output - Uses the result to decide the next step This happens automatically inside the agent loop. 🔄 Agent Loop with Tools Goal → Plan → Choose Tool → Execute Tool → Observe Result → Update Plan This loop makes the agent action-oriented. 📌 Example: Customer Support Agent Goal: Resolve a refund request Steps: 1. Read user query 2. Fetch order details using API 3. Check refund eligibility 4. Initiate refund via payment service 5. Confirm with the user Without tools, this agent could only reply — not resolve. ⚠️ Challenges with Tool-Calling - Incorrect tool selection - Invalid inputs - API failures - Security and permission issues Modern systems use validation, retries, guardrails, and human approval. 💡 Why Tools Matter Tool-enabled agents can: - Automate workflows - Perform real business actions - Reduce manual effort - Scale intelligent operations

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