Welcome to the Next.js Docs Contribution Guide! We're excited to have you here. This page provides instructions on how to edit the Next.js documentation. Our goal is to ensure that everyone in the community feels empowered to contribute and improve our docs. Open-source work is never done, and neither is documentation. Contributing to docs is a good way for beginners to get involved in open-source and for experienced developers to clarify more complex topics while sharing their knowledge with th...
A guide for integrating Next.js with Expo for the web.
배울 내용 ; Learn how to build fullstack React apps with NextJS 15 & the App Router ; Build real projects and apply what you learned with hands-on projects and examples ; Learn about different ways of building NextJS app - App Router vs Pages Router
Next.js - Quick Guide - The Next.js is React Based framework with server side rendering capability. It is very fast and SEO friendly.
Install both react-i18next and i18next packages: ; npm install react-i18next i18next --save ; # if you'd like to detect user language and load translation ; npm install i18next-http-backend i18next-browser-languagedetector --save
Learn React from the ground up and finish the course as an advanced React developer ; Build multiple high-quality demo apps, including a fullstack app built with NextJS ; Join more than 800,000 students in this course & more than 2,500,000 students I taught across all my courses
Welcome to the Next.js documentation! · Next.js is a React framework for building full-stack web applications. You use React Components to build user interfaces, and Next.js for additional features and optimizations. Under the hood, Next.js also abstracts and automatically configures tooling needed for React, like bundling, compiling, and more. This allows you to focus on building your application instead of spending time with configuration. Whether you're an individual developer or part of a ...
Main changes ; App Router-first (pages/ still supported) ; OAuth support on preview deployments (Read more) ; Simplified setup (shared config, inferred env variables)
배울 내용 ; Foundations of Language Models · Generative AI · Tool-box of Language Models (LLM) and NLP · Open-source Large Language Models (LLMs) · How to supercharge LLMs with LangChain · Training ChatGPT with a personalized knowledge base with LangChain · A deep dive into vector databases: FAISS, PINECONE, etc · Understanding multi-step reasoning · Langchain and Agents in enhancing LLM capabilities
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