This project serves as a community-driven educational resource focused on prompt engineering for large language models. It provides structured learning materials designed to help developers integrate artificial intelligence tools into their software workflows and optimize the quality of model outputs. The repository distinguishes itself through a comprehensive localization effort, offering translated technical documentation and multilingual subtitle files for instructional video content. By utilizing a collaborative, version-controlled workflow, the project ensures that complex engineering co
Genkit is an open-source framework for building AI-powered applications. It provides a unified interface for connecting to hundreds of generative AI models from multiple providers, enabling text, image, audio, and video generation through a single API. The framework structures multi-step AI interactions—including chat, retrieval-augmented generation, tool use, and agentic workflows—as composable, traceable flows with built-in streaming and state management. The framework distinguishes itself through a comprehensive developer toolkit that includes a command-line interface and a local developer
This project is a curated library of community-driven prompt templates and personas designed to improve interactions with large language models. It functions as a prompt engineering guide, providing interactive tutorials and examples to teach advanced design and reasoning techniques. The library can operate as a Model Context Protocol server, providing a standardized interface for AI tools and agents to access prompt data as a service. For organizations, it offers a self-hosted repository option that allows for private deployment on internal infrastructure with custom authentication and data
This repository serves as an educational resource and technical guide for developers learning to integrate large language models into software applications. It provides practical lessons and code examples focused on building systems that perform automated text generation, data analysis, and interactive chat tasks. The project functions as a framework for understanding how to connect applications to external artificial intelligence services. It covers the implementation of secure authentication, the orchestration of network requests, and the configuration of model parameters such as temperatur
Web application explaining how LLMs work using D3.js + GSAP
The main features of kasnerz/animated-llm are: Learning and Prompt Engineering.
Open-source alternatives to kasnerz/animated-llm include: githubdaily/chatgpt-prompt-engineering-for-developers-in-chinese — This project serves as a community-driven educational resource focused on prompt engineering for large language… firebase/genkit — Genkit is an open-source framework for building AI-powered applications. It provides a unified interface for… f/awesome-chatgpt-prompts — This project is a curated library of community-driven prompt templates and personas designed to improve interactions… anthropics/courses — This repository serves as an educational resource and technical guide for developers learning to integrate large… dair-ai/prompt-engineering-guide — This project is a comprehensive educational resource and technical guide focused on the development, optimization, and… openai/openai-cookbook — This project is a technical learning resource and developer knowledge base focused on the integration of large…