How Automated Prompt Optimization: Efficient Performance at a Fraction of the Cost Enterprises striving to leverage AI for complex tasks often face a trade-off: high accuracy usually comes at a high cost, especially with leading proprietary models. Recent Databricks research reveals... AI benchmarking automation cost reduction Databricks enterprise AI large language models open-source AI prompt optimization
Feedback-Driven Methods Are Transforming Prompt Engineering Prompt engineering is crucial for maximizing the capabilities of large language models (LLMs), but it has traditionally required significant manual effort and specialized know-how. As new tasks and mo... AI research automation efficiency feedback loops large language models machine learning prompt optimization