• views: 274
• date: 13 January 2025
• posted by: 0nelove

Introduction
Modern Automated AI Agents: Introduction
Lesson 1: Introduction to AI Agents
Topics
1.1 Overview of AI Agents and Their Applications
1.2 Leading AI Agent Frameworks
1.3 First Steps with Agents with CrewAI
1.4 Designing Multi-Step Workflows with LangGraph
Lesson 2: Under the Hood of AI Agents
Topics
2.1 Understanding Large Language Models (LLMs)
2.2 Introduction to Tool Integration
2.3 Key Agent Components: Thought, Action, Observation, Response
Lesson 3: Building an AI Agent
Topics
3.1 Building Custom Tools
3.2 Building Our Agent Prompt
3.3 Using Our Agent
Lesson 4: Testing and Evaluating Agents
Topics
4.1 How to Evaluate Agents
4.2 Evaluating Tool Selection and Use
4.3 Assessing the Quality of Agent Responses
4.4 Evaluating Agent Backstories, Task Definitions, and Rules
Lesson 5: Expanding on ReAct with Planning and Reflection
Topics
5.1 Why Agents Fail
5.2 Plan and Execute Agents
5.3 Reflection Agents
Lesson 6: Advanced Applications and Future Directions
Topics
6.1 Exploring Additional Tools and APIs
6.2 Future Trends in AI Agents
Summary
Modern Automated AI Agents: Summary
Screenshot



   
   
   

Forex Trading

Crypto Trading. 20 USD Bonus after KYC

We need your support!
Make a donation to help us stay online
        
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
	
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem

Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u

USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm

0 1 2 3 4 5

| Print version |

	Information
		Users of GUESTS are not allowed to comment this publication.