Managing prompts for LLM applications can quickly become messy. Hardcoded strings, scattered prompt files / urls, and unclear versioning make maintenance difficult. This package solves these problems ...
Prompt learning builds on meta prompting—a technique introduced by Suzgun & Kalai (2024) where LLMs automatically optimize prompts by breaking tasks into components. While traditional meta prompting ...
Spread the love“`html In today’s tech-driven world, being proficient in programming languages like Python can open doors to countless opportunities. Whether you’re looking to automate tasks, analyze ...
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