Detta är ett utbildningsförråd för att lära sig utveckling av Generative AI med Java. Det tillhandahåller en omfattande praktisk kurs som täcker stora språkmodeller (LLMs), prompt engineering, embeddings, RAG (Retrieval-Augmented Generation) och Model Context Protocol (MCP). Viktiga teknologier: - Java 21 - Spring Boot 3.5.x - Spring AI 1.1.x - Maven - LangChain4j - Azure AI Foundry, Azure OpenAI och OpenAI SDKs Arkitektur: - Flera fristående Spring Boot-applikationer organiserade efter kapitel - Exempelprojekt som demonstrerar olika AI-mönster - GitHub Codespaces-redo…
5575mo agoReviewMountCreate a free account to mount
Hii ni hazina ya elimu kwa kujifunza maendeleo ya AI Inayozalisha kwa kutumia Java. Inatoa kozi kamili ya vitendo inayojumuisha Modeli Kubwa za Lugha (LLMs), uhandisi wa prompti, uingizaji data, RAG (Retrieval-Augmented Generation), na Itifaki ya Muktadha wa Modeli (MCP). Teknolojia Muhimu: - Java 21 - Spring Boot 3.5.x - Spring AI 1.1.x - Maven - LangChain4j - Azure AI Foundry, Azure OpenAI, na OpenAI SDKs Mimknimu: - Programu nyingi za Spring Boot za kujitegemea zilizopangwa kwa sura - Miradi…
5575mo agoReviewMountCreate a free account to mount
இது Java உடன் Generative AI மேம்பாட்டை கற்றுக்கொள்ளும் கல்வி களஞ்சியமாகும். இது பெரிய மொழி மாதிரிகள் (LLMs), ப்ராம்ட் பொறியியல், எம்பெட்டிங்ஸ், RAG (Retrieval-Augmented Generation), மற்றும் Model Context Protocol (MCP) ஆகியவற்றை உள்ளடக்கிய முழுமையான நடைமுறை பாடத்திட்டத்தைக் வழங்குகிறது. முக்கிய தொழில்நுட்பங்கள்: - Java 21 - Spring Boot 3.5.x - Spring AI 1.1.x - Maven - LangChain4j - Azure AI Foundry, Azure OpenAI, மற்றும் OpenAI SDKகள் கட்டமைப்பு: - அத்தியாயங்களின்படி ஒழுங்குபடுத்தப்பட்ட பல தனித்து இயங்கும் Spring Boot பயன்பாடுகள் - வெவ்வேறு AI வடிவங்களை காட்டு மாதிரிகள் உள்ள படைப்புகள் - முன்கூட்டியே கான்ஃபிகர் செய்யப்பட்ட dev…
5575mo agoReviewMountCreate a free account to mount
ఇది Java తో Generative AI అభివృద్ధిని నేర్చుకునేందుకు విద్యా గోపురం. ఇది Large Language Models (LLMs), prompt engineering, embeddings, RAG (Retrieval-Augmented Generation), మరియు Model Context Protocol (MCP) లను kapsule చేసుకునే సమగ్ర hands-on కోర్సును అందిస్తుంది. ప్రధాన సాంకేతికతలు: - Java 21 - Spring Boot 3.5.x - Spring AI 1.1.x - Maven - LangChain4j - Azure AI Foundry, Azure OpenAI, మరియు OpenAI SDKs విన್ಯಾಸం: - అദ്ധాయాల వారీగా క్రమబద్ధీకరించిన బహుళ స్వతంత్ర Spring Boot అప్లికేషన్లు - వివిధ AI నమూనాలను ప్రదర్శించే నమూనా ప్రాజెక్టులు - ముందుగా కాన్ఫిగర్ చేసిన dev…
5575mo agoReviewMountCreate a free account to mount
Ito ay isang pang-edukasyon na repositoryo para matutunan ang Generative AI development gamit ang Java. Nagbibigay ito ng komprehensibong hands-on na kurso na sumasaklaw sa Large Language Models (LLMs), prompt engineering, embeddings, RAG (Retrieval-Augmented Generation), at ang Model Context Protocol (MCP). Pangunahing Teknolohiya: - Java 21 - Spring Boot 3.5.x - Spring AI 1.1.x - Maven - LangChain4j - Azure AI Foundry, Azure OpenAI, at OpenAI SDKs Arkitektura: - Maramihang standalone na Spring Boot applications na inayos ayon sa mga…
5575mo agoReviewMountCreate a free account to mount
Bu, Java ile Üretici Yapay Zeka geliştirmeyi öğrenmek için eğitsel bir depodur. Büyük Dil Modelleri (LLM'ler), prompt mühendisliği, gömme yapılar, RAG (Retrieval-Augmented Generation) ve Model Context Protocol (MCP) dahil olmak üzere kapsamlı, uygulamalı bir kurs sunar. Temel Teknolojiler: - Java 21 - Spring Boot 3.5.x - Spring AI 1.1.x - Maven - LangChain4j - Azure AI Foundry, Azure OpenAI ve OpenAI SDK'ları Mimari: - Bölümler halinde düzenlenmiş birden fazla bağımsız Spring Boot uygulaması - Farklı yapay zeka desenlerini gösteren örnek…
5575mo agoReviewMountCreate a free account to mount
Це освітній репозиторій для вивчення розробки генеративного ШІ на Java. Він надає комплексний практичний курс, що охоплює великі мовні моделі (LLMs), інженерію запитів, embeddings, RAG (генерація з використанням пошуку), та Протокол контексту моделі (MCP). Ключові технології: - Java 21 - Spring Boot 3.5.x - Spring AI 1.1.x - Maven - LangChain4j - Azure AI Foundry, Azure OpenAI та OpenAI SDK Архітектура: - Кілька автономних застосунків Spring Boot, організованих по розділах - Зразкові проекти, що демонструють різні шаблони ШІ - Готовність…
5575mo agoReviewMountCreate a free account to mount
یہ جاوا کے ساتھ جنریٹو اے آئی کی ترقی سیکھنے کے لیے ایک تعلیمی ذخیرہ ہے۔ یہ بڑی زبان کے ماڈلز (LLMs)، پرامپٹ انجینئرنگ، ایمبیڈنگز، RAG (ریٹریول اگیمنٹڈ جنریشن)، اور ماڈل کانٹیکسٹ پروٹوکول (MCP) کا جامع عملی کورس فراہم کرتا ہے۔ اہم ٹیکنالوجیز: - جاوا 21 - سپرنگ بوٹ 3.5.x - سپرنگ AI 1.1.x - میون - لانگ چین4جے - ایزور AI فاؤنڈری، ایزور اوپن AI، اور اوپن AI SDKs آرکیٹیکچر: - مضامین کے حساب سے منظم کئی اسٹینڈ اکیٹھ…
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Đây là kho lưu trữ giáo dục để học phát triển Generative AI với Java. Nó cung cấp một khóa học thực hành toàn diện về Large Language Models (LLMs), kỹ thuật prompt, embeddings, RAG (Retrieval-Augmented Generation), và Model Context Protocol (MCP). Công nghệ chính: - Java 21 - Spring Boot 3.5.x - Spring AI 1.1.x - Maven - LangChain4j - Azure AI Foundry, Azure OpenAI và các SDK OpenAI Kiến trúc: - Nhiều ứng dụng Spring Boot độc lập…
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You are an assistant to develop code apps in Power Apps. Here is a documentation on how to create Power Apps code apps: https://learn.microsoft.com/en-us/power-apps/developer/code-apps/how-to/create-an-app-from-scratch. Read through it including the referenced documentation to fully understand what code apps are and how to build them. The user will ask you to create, update and deploy code apps. Follow the rules you gathered from the context, and assist the user with their asks. Make sure to use the PAC CLI tool to deploy…
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Conductor is a Python 3.12+ CLI that runs multi-agent workflows defined in YAML (parallel and for-each groups, conditional routing, loop-backs, human gates) on several LLM providers. This file is the always-loaded entry point for agents working on Conductor. It holds the rules that apply to every change and routes you to the guide that owns your task. To author or run a workflow, use the bundled Conductor skill (plugins/conductor/skills/conductor/SKILL.md) and the user docs in docs/. - Read every guide the…
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This folder (mcp-apps/copilot-agent-kit/ in the Copilot Agent Kit repository) is a standalone reference implementation of an MCP app and Microsoft 365 declarative agent for Copilot Studio agents. It has 3 views: Agent Review, Agent Debugger and Eval Builder. Run all commands from this folder. Use the appropriate skill before changing the areas below.
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- Review the CONTRIBUTING.md file for instructions to build and test the software. - Run the .github\Prime-ForCopilot.ps1 script (once) before running any dotnet or msbuild commands. If you see any build errors about not finding git objects or a shallow clone, it may be time to run this script again. IMPORTANT: This repository uses Microsoft.Testing.Platform (MTP v2) with xunit v3. Traditional --filter syntax does NOT work. Use the options below instead. Run all tests: Run tests for a specific test…
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This file is read by AI coding agents (GitHub Copilot CLI, Claude Code, Cursor, etc.) working in this repository. Follow these conventions when authoring documentation, samples, skills, or code in this repo. uv is the canonical Python tooling for this repository. When writing docs, skills, samples, or scripts that involve Python, always lead with uv — never lead with bare python, python3, pip, or pip3. 1. Do not lead with pip install … / pip3 install … in any prose,…
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Cross-cutting rules for AI coding agents working in this repository. Per-client codegen conventions are in clients/kotlin/AGENTS.md, clients/swift/AGENTS.md, clients/go/AGENTS.md, and clients/dotnet/AGENTS.md. Editorial rules for protocol types are in .github/instructions/general-instructions.instructions.md. Release mechanics are in RELEASING.md. This repo ships seven independently-versioned artifacts (the spec plus the Rust / Kotlin / Swift / TypeScript / Go / .NET clients), each with its own CHANGELOG.md in Keep-a-Changelog format. The publish workflows refuse to release a tag whose matching ## [X.Y.Z] heading is missing. To avoid…
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