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LLM Application development is extremely iterative, more so than any other types of development. This is because to improve an LLM application performance (accuracy, hallucinations, latency, cost), you need to trial and error various combinations of LLM models, prompt templates (e.g, few-shot, chain-of-thought), prompt context with different RAG architecture, different agent architecture, and more. There are thousands of possible combinations to try. Palico is an LLM Development Framework that structures your application development for rapid experimentation so you can easily test different combination of your LLM application stack and quickly iterate towards your accuracy goals.

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