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Designing Pareto-optimal GenAI workflows with syftr

You’re not short on tools. Or models. Or frameworks. What you’re short on is a principled way to use them — at scale. Building effective generative AI workflows, especially agentic ones, means navigating a combinatorial explosion of choices. Every new retriever, prompt strategy, text splitter, embedding model, or synthesizing LLM multiplies the space of possible workflows, resulting in a search space with over 10²³ possible configurations. Trial-and-error doesn’t scale. And model-level benchmark...

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