Knowledge summarization is a common use of the scene, the chief AI sharing circle previously shared the summary of knowledge commonly used prompts, although covering various types of scenes, but the multi-round dialogue format processing does not give a reasonable program. Multi-round dialog generally appear in WeChat group chat, or meeting records, so I will give two multi-round dialog into...
This guide is designed to help you develop efficiently with React, Vite, Tailwind CSS, Three.js, React Three Fiber, and Next UI. Here are the key takeaways and best practices: Coding style Use clean, technical code that provides accurate React examples Use functional, sound...
Apple Intelligence is the upcoming suite of device-side AI tools from Apple. It puts powerful generative AI models in iPhone, iPad, and Mac, and delivers incredible new features to help users communicate, work, and express themselves. You can take these Apple Intelligence ...
Principle: Use Apify API to grab your push profile and the last 10 pushes, then use Claude 3.5 Sonnet to perform AI fortune-telling prompt on you. wordware Complete Prompt Words Command Chinese Version You are an experienced astrologer specializing in writing horoscopes. Please use the horoscope ...
Writing opening copy for an article or novel is essential for getting readers to read quickly and attracting clicks, and this can be completely rewritten using AI and generate copy of a quality that exceeds the level of most human writing. There are three questions to think about when rewriting articles using AI in general? Generate content that is readable For different types of articles appropriate...
Summarization is one of the big model base capabilities, which is a task that is both simple and complex, requiring big model base capabilities and explicitly purposeful constructor instructions to perform correctly. Why? Let's start with two examples given in the official Big Model documentation. For example, the official OPENAI provides summarization...
This helper is specifically designed for building APIs using the Go language, in particular using the net/http package of the standard library and the newly introduced ServeMux in Go 1.22.Here are the key points and tips for using this helper: Versions and Principles Always use the latest stable version of Go (1.22 or newer) Follow the RESTful API...
Tips for Using Python, FastAPI, and Microservices Architecture This Tip Sheet provides a guide to building efficient, scalable Python microservices, with a focus on best practices around FastAPI, serverless architecture, and cloud-native environments. The following step-by-step breakdown of how to utilize these points will help you get up to speed quickly. 1...
Expert Guide to Python, FastAPI, Microservices Architecture and Serverless Environments Core Principles Stateless design: state persistence using external storage and caching (e.g., Redis) API gateway: use NGINX or Traefik to handle microservices traffic Elastic communication: implement circuit breakers and retry mechanisms Serverless part...
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