🤖 If you're looking to build agentic GenAI applications

🤖 If you’re looking to build agentic genai applications, these design patterns will give you a great framework to start with!

Agentic AI is evolving fast, opening up many possibilities for a new paradigm of applications.

When developing your agentic application, it’s important to choose the right agent design patterns.

With so many open-source tools and research available, it can feel overwhelming. To help, I’ve created a simple infographic that summarizes these design patterns:

• ⛳ Reflection: The LLM reviews its own work to identify ways to improve.
  • Article : https://www.deeplearning.ai/the-batch/agentic-design-patterns-part-2-reflection/?ref=dl-staging-website.ghost.io
• ⛳ Tool Use: The LLM is equipped with tools like web search, code execution, or other functions to help it gather information, take action, or process data.
  • Article : https://www.deeplearning.ai/the-batch/agentic-design-patterns-part-3-tool-use/?ref=dl-staging-website.ghost.io
• ⛳ Planning: The LLM devises and follows a multistep plan to achieve a goal. For example, it might outline an essay, conduct online research, and then write a draft.
  • Article : https://www.deeplearning.ai/the-batch/agentic-design-patterns-part-4-planning/?ref=dl-staging-website.ghost.io
• ⛳ Multi-agent Collaboration: Multiple AI agents work together, dividing tasks and discussing ideas to arrive at better solutions than a single agent could achieve alone.
  • Article : https://www.deeplearning.ai/the-batch/agentic-design-patterns-part-5-multi-agent-collaboration/?ref=dl-staging-website.ghost.io

The Agentic Design Patterns blog series : 👉 https://www.deeplearning.ai/the-batch/how-agents-can-improve-llm-performance/?ref=dl-staging-website.ghost.io