301-AI Agents
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AI Agents are autonomous or semi-autonomous systems that leverage LLMs to perform complex tasks, make decisions, and interact with their environment. These agents combine the natural language processing capabilities of LLMs with structured decision-making processes, allowing them to understand context, plan actions, and execute tasks across various domains. AI Agents represent a significant step towards more versatile and capable AI systems that can assist in a wide range of applications.
Agent Architecture: The overall structure and components of an AI Agent system.
Planning and Reasoning: The agent's ability to formulate strategies and make logical decisions.
Task Decomposition: Breaking down complex tasks into manageable sub-tasks.
Memory and State Management: Maintaining context and information across interactions.
Tool Use: The agent's capability to utilize external tools and APIs to accomplish tasks.
Feedback Loop: Continuous learning and improvement based on outcomes and user feedback.
This example demonstrates a basic structure for an AI Agent, including perception (input processing), thinking (using the LLM for decision-making), and acting (executing decided actions).
This example shows how an AI Agent can break down a complex task (researching a topic) into smaller steps, potentially using different tools for each step (e.g., web search, summarization, report generation).
Design modular agent architectures for flexibility and scalability.
Implement robust error handling and fallback mechanisms.
Regularly update the agent's knowledge base and available tools.
Use clear and consistent communication protocols between agent components.
Implement ethical guidelines and safety measures in the agent's decision-making process.
Lack of Context Awareness: Ensure the agent maintains relevant context across interactions and tasks.
Over-reliance on LLM: Balance LLM outputs with structured logic and domain-specific rules.
Poor Tool Integration: Carefully design and test integrations with external tools and APIs.
GenAI University: 301-Agent Tools
GenAI University: 201-Documents and Vector Databases (RAG)
Tailwinds Feature: Agents
Tailwinds Feature: Tools
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