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This repository is a comprehensive set of tutorials and examples for building software powered by large language models. It serves as an application development guide and a prompt engineering framework, providing instructional content for integrating model logic with user interfaces and external data sources. The project provides technical walkthroughs for specialized workflows, including the implementation of retrieval augmented generation using vector databases and semantic search. It includes guidance on adapting pre-trained model weights through fine-tuning with private datasets and the o
Context-Engineering is a prompt engineering framework and cognitive architecture for large language models. It provides a set of patterns and methodologies for designing structured prompts and modular reasoning flows that decompose complex tasks into specialized, step-by-step problem solving templates. The project distinguishes itself through stateful prompt management and context window optimization. It maintains persistent memory across multiple interaction turns by compressing conversation history into compact internal state cells and employs techniques to maximize information density per
BAML is a prompt engineering framework and LLM client generator that defines AI prompts as type-safe functions. It serves as a structured data extraction tool and workflow orchestrator, transforming unstructured model responses into strongly typed objects using a custom schema language and alignment algorithms. The project distinguishes itself by using a compiler to generate language-specific boilerplate code for API communication and output parsing. It features a dedicated environment for designing complex prompt templates with conditional logic and reusable snippets, and employs genetic alg
This project serves as a comprehensive, curated directory of resources, tools, and platforms dedicated to the generative artificial intelligence ecosystem. It functions as a central hub for developers and researchers to discover the frameworks, models, and services necessary for building, deploying, and managing intelligent software applications. The directory distinguishes itself by providing a structured index of specialized tooling across several technical domains. It covers the full lifecycle of generative AI, including the development of autonomous agent systems, the implementation of re
SuperPrompt is an AI agent prompting tool and meta-prompting system designed to engineer complex prompts that enable autonomous behaviors and advanced reasoning in large language models. It functions as a framework for creating structured instructions and notations that guide models through multi-step tasks and autonomous workflows.
The main features of neovertex1/superprompt are: AI Prompt Engineering, Dynamic Meta-Prompting, Automatic Prompt Engineering, Autonomous Agent Orchestration, Constraint-Based Prompting, Meta-Prompting Systems, Dynamic Adaptation, Prompt Engineering.
Open-source alternatives to neovertex1/superprompt include: datawhalechina/llm-cookbook — This repository is a comprehensive set of tutorials and examples for building software powered by large language… davidkimai/context-engineering — Context-Engineering is a prompt engineering framework and cognitive architecture for large language models. It… boundaryml/baml — BAML is a prompt engineering framework and LLM client generator that defines AI prompts as type-safe functions. It… steven2358/awesome-generative-ai — This project serves as a comprehensive, curated directory of resources, tools, and platforms dedicated to the… tukuaiai/vibe-coding-cn — vibe-coding-cn is an AI software development workflow and prompt engineering framework designed to transform product… dair-ai/prompt-engineering-guide — This project is a comprehensive educational resource and technical guide focused on the development, optimization, and…