Stop Building Agents -> Start Composing Patterns
📰 Medium · LLM
Learn to compose patterns instead of building agents for more efficient LLM integration, and discover the 5 patterns between plain LLM calls and autonomous agents
Action Steps
- Identify the limitations of plain LLM calls in your current workflow
- Explore the 5 patterns between plain LLM calls and autonomous agents
- Evaluate which pattern best fits your project requirements
- Compose patterns to create a more efficient and scalable LLM integration
- Test and refine your composed pattern to ensure optimal performance
Who Needs to Know This
Developers and AI engineers on a team can benefit from this approach to improve their LLM integration workflow and create more scalable solutions
Key Insight
💡 Composing patterns can be a more efficient and scalable approach to LLM integration than building agents
Share This
🚀 Ditch building agents and start composing patterns for efficient LLM integration! 🤖
Key Takeaways
Learn to compose patterns instead of building agents for more efficient LLM integration, and discover the 5 patterns between plain LLM calls and autonomous agents
Full Article
A decision guide to the 5 patterns between “plain LLM call” and “autonomous agent” Continue reading on Medium »
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