🎯 Learn RAG with Prompts
This project implements a Retrieval-Augmented Generation (RAG) system using Mistral LLM for local document processing and question answering. The system:
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This project implements a Retrieval-Augmented Generation (RAG) system using Mistral LLM for local document processing and question answering. The system:
This project implements a Retrieval-Augmented Generation (RAG) system using Mistral LLM for local document processing and question answering. The system:
Here are explanations of the base prompts that simpleaichat uses, and why they are written as they are. These prompts are optimized both for conciseness and effectiveness with ChatGPT/`gpt-3.5-turbo`. This includes some postprocessing of the inputs.
This document provides comprehensive details about the 6 core AI documentation prompts implemented in the GitBook MCP server. These prompts are designed to facilitate essential documentation workflows through conversational AI interfaces and work seamlessly with the 12 available MCP tools.
请开发一个 VSCode 插件,功能是将用户选中的文件及其所在的项目结构智能整合成一个单一文件,并以适用于大语言模型(如 GPT 等)的 XML 格式输出。插件应具备以下特性:
1. **排除清單設定**
This comprehensive guide provides **user-friendly prompts** for using the NIST CSF 2.0 MCP Server with large language models like **Claude**, **ChatGPT**, and **Gemini**. All prompts are conversational and require no technical knowledge or JSON formatting.
Prompt template:
A comprehensive guide to getting the most out of CryptoAnalysisMCP with example prompts for different trading styles and analysis needs.
The most effective prompt engineering techniques for Claude Code center around structured instructions, the use of sub-agents, emphasis styling (bold/uppercase), and optimal placement of instructions for code commands and workflows. These strategies give the highest-quality AI responses and reliable
You: Create an ERC721 token that governs a DAO on gnosis chiado and give me the contract address
I wrote functions to load book and review data from JSON files at the start of the script with the help of copilot. I also created save_books_to_file and save_reviews_to_file functions to write any changes back to the files. When writing the functions, Copilot helped with the structure, but I had to
The code should be be able to run executing an index.php inside it and the dependencies on same folder that you create should be added using require_once
- <a href="https://www.coursera.org/learn/prompt-engineering?irclickid=3OkxxmTWzxyPTqzU33Taizo2UkH2thWXP1ZW2U0&irgwc=1&utm_medium=partners&utm_source=impact&utm_campaign=3311133&utm_content=b2c" target="_blank">Coursera on Prompt Engineering</a>
Idea is to create an algorithm that uses BLE Mesh (inside an android application) to share the live location to loved ones to be safe and Also some ML algorithms that will predict if the person is in danger and it sends a distress signal! the main working of the algorithm is it can transmit location
_暴论)Prompts 文档将替代需求文档、技术方案文档(逃_
I have a dataset that contains data from the past 5 years about employees that are members of a pension scheme. It contains data about how many members are leaving the scheme and how many are joining.
2.
**Tasks**
I am making a link redirection service in nodejs using typescript and express. Here I will describe the requirements.
1. **Define Your Requirements**:
2. For each meal section, I’d like to include a pie chart showing the calorie distribution among the dishes. Each chart should visualize the proportion of total meal calories contributed by each individual dish.
GitHub Copilot: I'll help you create a brightness controller app for your Ubuntu 24 LTS! Since you're new to Linux, I'll create a simple graphical app and guide you through everything step by step.
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