Building Reliable LLM Applications in Java

1. 1Implement typed structured outputs to improve result handling
2. 2Configure retries and idempotency to handle errors and duplicates
3. 3Prioritize grounding over hallucination to ensure accurate results
4. 4Evaluate LLM performance using relevant metrics
5. 5Apply prompt caching to optimize performance
6. 6Use agentic control flow to manage complex workflows

Java developers and data scientists working with LLMs can benefit from these best practices to ensure reliable and efficient application development

💡 Grounding over hallucination is crucial for accurate LLM results

💡 Build reliable LLM apps in Java with Anthropic Java SDK!