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...
Read more at datarobot.com