
GenerativeAI-Prompt-Sample-Japanese
ChatGPTやCopilotなど各種生成AI用の「日本語]の Prompt のサンプル
Stars: 305

This repository provides sample prompts for GenerativeAI in Japanese. Users should exercise caution and not input sensitive information. The included tools are Microsoft Copilot, OpenAI, Azure OpenAI Service, and Prompt Engineering Basic. The repository also offers a guide for Prompt Engineering in Japanese, along with references to various Japanese examples of Prompt Engineering techniques.
README:
GenerativeAI の Prompt のサンプルです。
全ては自己責任です。ご利用は十二分に注意をしてください。以下は ChatGPT に限らず情報管理の一般論とも言えますが。
- 機微な情報、機密情報は入力しない
- 出力結果を鵜呑みにしない
- 利用にあたっては、知財・法的な課題を会社・組織の法律の専門家に確認する
https://www.promptingguide.ai/jp
https://learn.microsoft.com/ja-jp/azure/cognitive-services/openai/overview
https://github.com/microsoft/OpenAIWorkshop/tree/main/scenarios/prompt_engineering
ChatGPT の基礎的な Prompt です。
### 役割 ###
関西の方として振舞ってください。
ChatGPTに限らずLLMには出力トークン数の制限があります。出力途中で「終わった」という扱いになる事があります。プログラムコードを作成してもらっている際などには、良く遭遇します。
そんな際には、以下のようなPromptを使ってみるといいかもしれません。
作業を続けてください。
各種Prompt Engineeringの日本語実例集(Zero-CoT、mock、ReAct、ToT、Metacog、Step Back、IEPなど) by @YutaroOgawa2 さん
https://qiita.com/YutaroOgawa2/items/aca32f8fd7d551596cf8
LLMのプロンプト技術まとめ by @fuyu_quant さん
For Tasks:
Click tags to check more tools for each tasksFor Jobs:
Alternative AI tools for GenerativeAI-Prompt-Sample-Japanese
Similar Open Source Tools

GenerativeAI-Prompt-Sample-Japanese
This repository provides sample prompts for GenerativeAI in Japanese. Users should exercise caution and not input sensitive information. The included tools are Microsoft Copilot, OpenAI, Azure OpenAI Service, and Prompt Engineering Basic. The repository also offers a guide for Prompt Engineering in Japanese, along with references to various Japanese examples of Prompt Engineering techniques.

100x-LLM
This repository contains code snippets and examples from the 100x Applied AI cohort lectures. It includes implementations of LLM Workflows, RAG (Retrieval Augmented Generation), Agentic Patterns, Chat Completions with various providers, Function Calling, and more. The repository structure consists of core components like LLM Workflows, RAG Implementations, Agentic Patterns, Chat Completions, Function Calling, Hugging Face Integration, and additional components for various agent implementations, presentation generation, Notion API integration, FastAPI-based endpoints, authentication implementations, and LangChain usage examples.

Advanced-GPTs
Nerority's Advanced GPT Suite is a collection of 33 GPTs that can be controlled with natural language prompts. The suite includes tools for various tasks such as strategic consulting, business analysis, career profile building, content creation, educational purposes, image-based tasks, knowledge engineering, marketing, persona creation, programming, prompt engineering, role-playing, simulations, and task management. Users can access links, usage instructions, and guides for each GPT on their respective pages. The suite is designed for public demonstration and usage, offering features like meta-sequence optimization, AI priming, prompt classification, and optimization. It also provides tools for generating articles, analyzing contracts, visualizing data, distilling knowledge, creating educational content, exploring topics, generating marketing copy, simulating scenarios, managing tasks, and more.

azooKey-Desktop
azooKey-Desktop is an open-source Japanese input system for macOS that incorporates the high-precision neural kana-kanji conversion engine 'Zenzai'. It offers features such as neural kana-kanji conversion, profile prompt, history learning, user dictionary, integration with personal optimization system 'Tuner', 'nice feeling conversion' with LLM, live conversion, and native support for AZIK. The tool is currently in alpha version, and its operation is not guaranteed. Users can install it via `.pkg` file or Homebrew. Development contributions are welcome, and the project has received support from the Information-technology Promotion Agency, Japan (IPA) for the 2024 fiscal year's untapped IT human resources discovery and nurturing project.

we-drawing
The 'we-drawing' repository is a project that generates AI images based on Bing Image DALL-E-3 using a daily Chinese ancient poem as a prompt. It automatically triggers GitHub Action, fetches poems from '今日诗词' API, and builds the website with Astro. Users can subscribe to daily poem images via RSS feed and join the '新生代程序员群' WeChat group for discussions on front-end, back-end development, and AI technology.

AudioNotes
AudioNotes is a system built on FunASR and Qwen2 that can quickly extract content from audio and video, and organize it using large models into structured markdown notes for easy reading. Users can interact with the audio and video content, install Ollama, pull models, and deploy services using Docker or locally with a PostgreSQL database. The system provides a seamless way to convert audio and video into structured notes for efficient consumption.

remix-antd-admin
Remix Antd Admin is a full-stack management system built on Remix and Antd/TailwindCSS, featuring RBAC permission management and remix-i18n integration. It aims to provide a modern, simple, fast, and scalable full-stack website. The project is currently in development, transitioning from UI to full-stack, with a focus on stable architecture. The frontend utilizes remix data flow with server-side rendering, while the backend API uses redux-toolkit/query, prisma, rxjs, zod, and remix action/loader for server API services. The project includes authorization management with jose jwt for external API services beyond web applications. Key libraries used are Remix, express, Prisma, and pgsql.

echo-editor
Echo Editor is a modern AI-powered WYSIWYG rich-text editor for Vue, featuring a beautiful UI with shadcn-vue components. It provides AI-powered writing assistance, Markdown support with real-time preview, rich text formatting, tables, code blocks, custom font sizes and styles, Word document import, I18n support, extensible architecture for creating extensions, TypeScript and Tailwind CSS support. The tool aims to enhance the writing experience by combining advanced features with user-friendly design.

gpt-bitcoin
The gpt-bitcoin repository is focused on creating an automated trading system for Bitcoin using GPT AI technology. It provides different versions of trading strategies utilizing various data sources such as OHLCV, Moving Averages, RSI, Stochastic Oscillator, MACD, Bollinger Bands, Orderbook Data, news data, fear/greed index, and chart images. Users can set up the system by creating a .env file with necessary API keys and installing required dependencies. The repository also includes instructions for setting up the environment on local machines and AWS EC2 Ubuntu servers. The future plan includes expanding the system to support other cryptocurrency exchanges like Bithumb, Binance, Coinbase, OKX, and Bybit.

kvcached
kvcached is a new KV cache management system that supports on-demand KV cache allocation. It implements the concept of GPU virtual memory, allowing applications to reserve virtual address space without immediately committing physical memory. Physical memory is then automatically allocated and mapped as needed at runtime. This capability allows multiple LLMs to run concurrently on a single GPU or a group of GPUs (TP) and flexibly share the GPU memory, significantly improving GPU utilization and reducing memory fragmentation. kvcached is compatible with popular LLM serving engines, including SGLang and vLLM.

LLM-FuzzX
LLM-FuzzX is an open-source user-friendly fuzz testing tool for large language models (e.g., GPT, Claude, LLaMA), equipped with advanced task-aware mutation strategies, fine-grained evaluation, and jailbreak detection capabilities. It helps researchers and developers quickly discover potential security vulnerabilities and enhance model robustness. The tool features a user-friendly web interface for visual configuration and real-time monitoring, supports various advanced mutation methods, integrates RoBERTa model for real-time jailbreak detection and evaluation, supports multiple language models like GPT, Claude, LLaMA, provides visualization analysis with seed flowcharts and experiment data statistics, and offers detailed logging support for main, mutation, and jailbreak logs.

mlir-aie
This repository contains an MLIR-based toolchain for AI Engine-enabled devices, such as AMD Ryzen™ AI and Versal™. This repository can be used to generate low-level configurations for the AI Engine portion of these devices. AI Engines are organized as a spatial array of tiles, where each tile contains AI Engine cores and/or memories. The spatial array is connected by stream switches that can be configured to route data between AI Engine tiles scheduled by their programmable Data Movement Accelerators (DMAs). This repository contains MLIR representations, with multiple levels of abstraction, to target AI Engine devices. This enables compilers and developers to program AI Engine cores, as well as describe data movements and array connectivity. A Python API is made available as a convenient interface for generating MLIR design descriptions. Backend code generation is also included, targeting the aie-rt library. This toolchain uses the AI Engine compiler tool which is part of the AMD Vitis™ software installation: these tools require a free license for use from the Product Licensing Site.

JetStream
JetStream is a throughput and memory optimized engine for Large Language Model (LLM) inference on XLA devices, specifically TPUs. It provides reference engine implementations for Jax and Pytorch models, along with documentation for online inference, serving Gemma using TPUs on GKE, benchmarking, observability, profiling, and standalone local setup. Users can easily set up a local server, run tests, and test core modules. JetStream aims to enhance the performance of LLM inference on XLA devices.

neural-speed
Neural Speed is an innovative library designed to support the efficient inference of large language models (LLMs) on Intel platforms through the state-of-the-art (SOTA) low-bit quantization powered by Intel Neural Compressor. The work is inspired by llama.cpp and further optimized for Intel platforms with our innovations in NeurIPS' 2023

Shellsage
Shell Sage is an intelligent terminal companion and AI-powered terminal assistant that enhances the terminal experience with features like local and cloud AI support, context-aware error diagnosis, natural language to command translation, and safe command execution workflows. It offers interactive workflows, supports various API providers, and allows for custom model selection. Users can configure the tool for local or API mode, select specific models, and switch between modes easily. Currently in alpha development, Shell Sage has known limitations like limited Windows support and occasional false positives in error detection. The roadmap includes improvements like better context awareness, Windows PowerShell integration, Tmux integration, and CI/CD error pattern database.

NextChat
NextChat is a well-designed cross-platform ChatGPT web UI tool that supports Claude, GPT4, and Gemini Pro. It offers a compact client for Linux, Windows, and MacOS, with features like self-deployed LLMs compatibility, privacy-first data storage, markdown support, responsive design, and fast loading speed. Users can create, share, and debug chat tools with prompt templates, access various prompts, compress chat history, and use multiple languages. The tool also supports enterprise-level privatization and customization deployment, with features like brand customization, resource integration, permission control, knowledge integration, security auditing, private deployment, and continuous updates.
For similar tasks

ai-commits-intellij-plugin
AI Commits is a plugin for IntelliJ-based IDEs and Android Studio that generates commit messages using git diff and OpenAI. It offers features such as generating commit messages from diff using OpenAI API, computing diff only from selected files and lines in the commit dialog, creating custom prompts for commit message generation, using predefined variables and hints to customize prompts, choosing any of the models available in OpenAI API, setting OpenAI network proxy, and setting custom OpenAI compatible API endpoint.

extensionOS
Extension | OS is an open-source browser extension that brings AI directly to users' web browsers, allowing them to access powerful models like LLMs seamlessly. Users can create prompts, fix grammar, and access intelligent assistance without switching tabs. The extension aims to revolutionize online information interaction by integrating AI into everyday browsing experiences. It offers features like Prompt Factory for tailored prompts, seamless LLM model access, secure API key storage, and a Mixture of Agents feature. The extension was developed to empower users to unleash their creativity with custom prompts and enhance their browsing experience with intelligent assistance.

img-prompt
IMGPrompt is an AI prompt editor tailored for image and video generation tools like Stable Diffusion, Midjourney, DALL·E, FLUX, and Sora. It offers a clean interface for viewing and combining prompts with translations in multiple languages. The tool includes features like smart recommendations, translation, random color generation, prompt tagging, interactive editing, categorized tag display, character count, and localization. Users can enhance their creative workflow by simplifying prompt creation and boosting efficiency.

5ire
5ire is a cross-platform desktop client that integrates a local knowledge base for multilingual vectorization, supports parsing and vectorization of various document formats, offers usage analytics to track API spending, provides a prompts library for creating and organizing prompts with variable support, allows bookmarking of conversations, and enables quick keyword searches across conversations. It is licensed under the GNU General Public License version 3.

sidecar
Sidecar is the AI brains of Aide the editor, responsible for creating prompts, interacting with LLM, and ensuring seamless integration of all functionalities. It includes 'tool_box.rs' for handling language-specific smartness, 'symbol/' for smart and independent symbols, 'llm_prompts/' for creating prompts, and 'repomap' for creating a repository map using page rank on code symbols. Users can contribute by submitting bugs, feature requests, reviewing source code changes, and participating in the development workflow.

labs-ai-tools-for-devs
This repository provides AI tools for developers through Docker containers, enabling agentic workflows. It allows users to create complex workflows using Dockerized tools and Markdown, leveraging various LLM models. The core features include Dockerized tools, conversation loops, multi-model agents, project-first design, and trackable prompts stored in a git repo.

Prompt_Engineering
Prompt Engineering Techniques is a comprehensive repository for learning, building, and sharing prompt engineering techniques, from basic concepts to advanced strategies for leveraging large language models. It provides step-by-step tutorials, practical implementations, and a platform for showcasing innovative prompt engineering techniques. The repository covers fundamental concepts, core techniques, advanced strategies, optimization and refinement, specialized applications, and advanced applications in prompt engineering.

mark
Mark is a CLI tool that allows users to interact with large language models (LLMs) using Markdown format. It enables users to seamlessly integrate GPT responses into Markdown files, supports image recognition, scraping of local and remote links, and image generation. Mark focuses on using Markdown as both a prompt and response medium for LLMs, offering a unique and flexible way to interact with language models for various use cases in development and documentation processes.
For similar jobs

sweep
Sweep is an AI junior developer that turns bugs and feature requests into code changes. It automatically handles developer experience improvements like adding type hints and improving test coverage.

teams-ai
The Teams AI Library is a software development kit (SDK) that helps developers create bots that can interact with Teams and Microsoft 365 applications. It is built on top of the Bot Framework SDK and simplifies the process of developing bots that interact with Teams' artificial intelligence capabilities. The SDK is available for JavaScript/TypeScript, .NET, and Python.

ai-guide
This guide is dedicated to Large Language Models (LLMs) that you can run on your home computer. It assumes your PC is a lower-end, non-gaming setup.

classifai
Supercharge WordPress Content Workflows and Engagement with Artificial Intelligence. Tap into leading cloud-based services like OpenAI, Microsoft Azure AI, Google Gemini and IBM Watson to augment your WordPress-powered websites. Publish content faster while improving SEO performance and increasing audience engagement. ClassifAI integrates Artificial Intelligence and Machine Learning technologies to lighten your workload and eliminate tedious tasks, giving you more time to create original content that matters.

chatbot-ui
Chatbot UI is an open-source AI chat app that allows users to create and deploy their own AI chatbots. It is easy to use and can be customized to fit any need. Chatbot UI is perfect for businesses, developers, and anyone who wants to create a chatbot.

BricksLLM
BricksLLM is a cloud native AI gateway written in Go. Currently, it provides native support for OpenAI, Anthropic, Azure OpenAI and vLLM. BricksLLM aims to provide enterprise level infrastructure that can power any LLM production use cases. Here are some use cases for BricksLLM: * Set LLM usage limits for users on different pricing tiers * Track LLM usage on a per user and per organization basis * Block or redact requests containing PIIs * Improve LLM reliability with failovers, retries and caching * Distribute API keys with rate limits and cost limits for internal development/production use cases * Distribute API keys with rate limits and cost limits for students

uAgents
uAgents is a Python library developed by Fetch.ai that allows for the creation of autonomous AI agents. These agents can perform various tasks on a schedule or take action on various events. uAgents are easy to create and manage, and they are connected to a fast-growing network of other uAgents. They are also secure, with cryptographically secured messages and wallets.

griptape
Griptape is a modular Python framework for building AI-powered applications that securely connect to your enterprise data and APIs. It offers developers the ability to maintain control and flexibility at every step. Griptape's core components include Structures (Agents, Pipelines, and Workflows), Tasks, Tools, Memory (Conversation Memory, Task Memory, and Meta Memory), Drivers (Prompt and Embedding Drivers, Vector Store Drivers, Image Generation Drivers, Image Query Drivers, SQL Drivers, Web Scraper Drivers, and Conversation Memory Drivers), Engines (Query Engines, Extraction Engines, Summary Engines, Image Generation Engines, and Image Query Engines), and additional components (Rulesets, Loaders, Artifacts, Chunkers, and Tokenizers). Griptape enables developers to create AI-powered applications with ease and efficiency.