الميزات الرئيسية لـ yzfly/langgpt هي: AI Development Tools, Prompt Engineering, التعلم والمراجع.
تشمل البدائل مفتوحة المصدر لـ yzfly/langgpt: yzfly/awesome-claude-prompts. plexpt/awesome-chatgpt-prompts-zh — This project is a community-driven library of structured text inputs designed to guide large language models into… dair-ai/prompt-engineering-guide — This project is a comprehensive educational resource and technical guide focused on the development, optimization, and… 3dagentworld/toolkit-for-prompt-compression — Our paper is now available on ArXiv, please refer to this url . (3/27/2024). ahmetb/kubernetes-network-policy-recipes — This project is a library of declarative configuration patterns and templates for implementing network policies within… agenta-ai/agenta — Agenta is a Prompt Ops lifecycle manager and prompt management platform that decouples prompt engineering from…
This project is a community-driven library of structured text inputs designed to guide large language models into specific roles, behaviors, and operational modes. It functions as a comprehensive repository of prompt engineering resources, providing reusable templates that allow users to override default model tendencies and enforce domain-specific response patterns through instruction-following logic. The collection distinguishes itself by offering specialized persona-based directives that constrain model output to simulate professional experts or functional technical environments. By utiliz
This project is a comprehensive educational resource and technical guide focused on the development, optimization, and application of large language models. It provides a structured curriculum for mastering prompt engineering, ranging from foundational principles of instruction design to advanced techniques for improving model reasoning, accuracy, and reliability. The guide distinguishes itself by offering deep technical insights into agentic workflows and autonomous system design. It covers the implementation of multi-step reasoning chains, tool integration through function calling, and stat
Our paper is now available on ArXiv, please refer to this url . (3/27/2024)