Dramatic Improvement! Design Better Agents with System Prompts in PydanticAI

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Masterclass: Using PydanticAI for Creating Multi-Agent Flows

Let's build something amazing with PydanticAI! Join the conversation at https://discord.gg/eQXBaCvTA9

Why Are System Prompts Important? System prompts are often overlooked but are critical to an agent's success. Here's why:
1. Define Agent Personality: A well-crafted system prompt determines the tone and style of an agent's responses.
2. Set Behavioral Boundaries: Prompts can limit or expand what an agent can do, ensuring it stays on task.
3. Improve Output Quality: The prompt provides context that enhances the relevance and accuracy of the agent's responses.
4. Enable Task-Specific Customization: Dynamic prompts allow the agent to adapt to changing requirements and runtime context.

Even though system prompts are just strings (or sequences of strings concatenated), their design can make or break an agent's functionality.

Masterclass Series:
▶️ Part 1: https://youtu.be/xVe87QpNE80
▶️ Part 2: https://youtu.be/TTNT3rnuZp0
▶️ Part 3: https://youtu.be/PXO9_nWZYrc
▶️ Part 4: https://youtu.be/WQqsiB0xUXk
▶️ Part 5: Build More Effective Agents with Function Tools in PydanticAI (Developer Tutorial)
▶️ Part 6: Improve the Accuracy of AI Agents with Result Validator Functions (Developer Tutorial)
▶️ Part 7: Simplify Agent Workflows with Dependency Injection in PydanticAI (Developer Tutorial)
▶️ Part 8: Advanced Retry Strategies for High-Performance AI Agents in PydanticAI (Developer Tutorial)
▶️ Part 9: Better Context Retention with Agent Memory in PydanticAI (Developer Tutorial)
▶️ Part 10: Building Resilient Agents: Best Practices for Handling Model Errors in PydanticAI (Developer Tutorial)
▶️ Part 11: Better User Experience with Streaming Outputs in PydanticAI (Developer Tutorial)
▶️ Part 12: Achieving Precision and Efficiency with Advanced Model Settings (Developer Tutorial)
▶️ Part 13: Multi-Model Agents in PydanticAI: Unlocking Next-Gen AI Capabilities (Developer Tutorial)
▶️ Part 14: Mastering RAG in PydanticAI: Better AI Agents with Real-Time Data (Developer Tutorial)
▶️ Part 15: Masterclass Final Project: AI Resume Writing with Multiple Agents (Developer Tutorial)

???? In this video, we’ll work through six examples to demonstrate the use of system prompts:
- Hello, World! - Start with a simple example to familiarize yourself with agent creation and basic system prompts. This startup coach will provide basic guidance on how to get your business off the ground.
- Simple Coder Agent - Introduce a system prompt to guide the agent in writing basic Python code.
- Advanced Coder Agent - Enhance the previous agent with a detailed system prompt to handle more complex tasks.
- Invoice-Writing Agent - Learn how to inject variables into static prompts for tailored outputs, such as generating invoices.
- Basic Dynamic Prompt - Explore dynamic system prompts and how they adjust based on runtime context.
- Advanced Dynamic Prompt - Dive deeper into dynamic prompts with complex examples that require intricate logic and showcasing agents generating their own dynamic system prompts at runtime.
- Bonus: Hello, World Improved! - A twist on the classic "Hello, World!" example that gives out startup mentor super powers!

???? Whether you're building a chatbot, an AI agent, or any other LLM-powered system, this tutorial provides practical examples to elevate your application’s ability to get better outputs from AI.

What agents are you building? Join the conversation at https://discord.gg/eQXBaCvTA9

???? Links & Resources:
PydanticAI: https://ai.pydantic.dev
GitHub repo: https://github.com/aidev9/tuts/tree/main/pydantic-ai-masterclass/4-system-prompts
Discord server: https://discord.gg/eQXBaCvTA9

Timecodes:
00:00 - Welcome to System Prompts with PydanticAI
00:05 - Introduction to PydanticAI Masterclass
00:46 - Static System Prompts
00:48 - Dynamic System Prompts
02:18 - Coding Tutorial
02:45 - Hello, World! Startup Coach System Prompt Example
04:26 - Simple Coder Agent Static System Prompt Example
05:56 - Advanced Coder Agent Static System Prompt Example
09:42 - Invoice-Writing Agent Static System Prompt Example
13:32 - Basic Dynamic Prompt System Prompt Example
16:12 - Advanced Dynamic Prompt System Prompt Example
24:00 - Bonus: Advanced Startup Mentor System Prompt
31:05 - Summary

#ai #openai #pydantic #ollama #pydanticai #mistral #llm #developer #software #tutorial #genai #llama #local #private #chatgpt #prompt #promptengineering
Catégories
prompts ia
Mots-clés
LLM, Agent, Tutorial

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