یہ ذخیرہ "نئے شروع کرنے والوں کے لیے AI ایجنٹس" پر مشتمل ہے - ایک جامع تعلیمی کورس جو AI ایجنٹس بنانے کے لیے درکار تمام چیزوں کی تعلیم دیتا ہے۔ کورس میں 18 اسباق (نمبر 00-18) شامل ہیں جن میں بنیادی باتیں، ڈیزائن پیٹرن، فریم ورکس، پروڈکشن تعیناتی، لوکل/ڈیوائس ایجنٹس، اور AI ایجنٹس کی سیکیورٹی شامل ہیں۔ اہم ٹیکنالوجیز: - پائتھن 3.12+ - متعامل سیکھنے کے لیے Jupyter نوٹ بکس - AI فریم ورکس: مائیکروسافٹ ایجنٹ فریم ورک (MAF)…
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Kho lưu trữ này chứa "Các tác nhân AI cho người mới bắt đầu" - một khóa học giáo dục toàn diện dạy mọi thứ cần thiết để xây dựng các tác nhân AI. Khóa học gồm 18 bài học (đánh số 00-18) bao gồm các kiến thức cơ bản, mẫu thiết kế, framework, triển khai sản xuất, tác nhân cục bộ/trên thiết bị, và bảo mật của các tác nhân AI. Công nghệ chính: - Python 3.12+ - Jupyter…
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Stateless Elasticsearch is a distribution where shard data is stored in an object store (e.g., S3, GCS, Azure) rather than local disk. Nodes carry no durable local state. The cluster…
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Run from the benchmarks/ directory using the run task with --args. Always use the fully-qualified class name including package to avoid ambiguity. Always pipe through tee /tmp/bench/<descriptive_name> using a filename…
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Always run docs-builder from the root of the checkout, not from a subdirectory. Running from a subdirectory will only validate that subdirectory's links and may silently miss errors in cross-document…
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The cookbook is organized around runnable examples and reference articles for OpenAI APIs. Place notebooks and Python scripts under examples/<topic>/, grouping related assets inside topic subfolders (for example, examples/agents_sdk/). Narrative guides and long-form docs live in articles/, and shared diagrams or screenshots belong in images/. Update registry.yaml whenever you add content so it appears on cookbook.openai.com, and add new author metadata in authors.yaml if you want custom attribution. Keep large datasets outside the repo; instead, document how to fetch them…
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You are migrating the mounted repo under repo/. - Migrate the repo according to repo/MIGRATION.md. - Preserve the public function signatures and behavior. - Run the baseline test command before editing. - Edit the app code and its tests. - Run the check command named in repo/MIGRATION.md after editing. - Run the final test command named in repo/MIGRATION.md after editing. - Return structured output that includes the exact commands, pass/fail summaries, changed files, a Markdown migration report, and the patch…
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This is the Cline monorepo. Toolchain is Bun 1.4.2 (package manager + task runner) with Node >=22 as the runtime. Do not use npm/yarn/pnpm. Don't add .changeset/ files or other per-PR changelog entries; changesets aren't used here. Release notes are written into the relevant CHANGELOG.md at release time.
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AI for Beginners is a comprehensive 12-week, 24-lesson curriculum covering Artificial Intelligence fundamentals. This educational repository includes practical lessons using Jupyter Notebooks, quizzes, and hands-on labs. The curriculum covers: Key Technologies: Python 3, Jupyter Notebooks, TensorFlow, PyTorch, Keras, OpenCV, Vue.js (for quiz app) Architecture: Educational content repository with Jupyter Notebooks organized by topic areas, supplemented by a Vue.js-based quiz application and extensive multi-language support. The curriculum is designed to run with Python and Jupyter Notebooks. The recommended approach is using…
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"الذكاء الاصطناعي للمبتدئين" هو منهج شامل لمدة 12 أسبوعًا يتضمن 24 درسًا يغطي أساسيات الذكاء الاصطناعي. يحتوي هذا المستودع التعليمي على دروس عملية باستخدام Jupyter Notebooks، اختبارات قصيرة، ومختبرات تطبيقية. يغطي المنهج: التقنيات الرئيسية: Python 3، Jupyter Notebooks، TensorFlow، PyTorch، Keras، OpenCV، Vue.js (لتطبيق الاختبارات) الهيكلية: مستودع محتوى تعليمي يحتوي على Jupyter Notebooks منظمة حسب مجالات الموضوعات، مدعومة بتطبيق اختبارات يعتمد على Vue.js ودعم متعدد اللغات بشكل واسع. تم تصميم المنهج للعمل باستخدام Python وJupyter Notebooks. الطريقة الموصى بها هي…
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AI for Beginners е обширна 12-седмична, 24-урочна учебна програма, която обхваща основите на изкуствения интелект. Този образователен репозиторий включва практически уроци с Jupyter Notebooks, тестове и практически лаборатории. Учебната програма обхваща: Ключови технологии: Python 3, Jupyter Notebooks, TensorFlow, PyTorch, Keras, OpenCV, Vue.js (за приложението за тестове) Архитектура: Образователен репозиторий със съдържание, организирано по теми, допълнен от приложение за тестове, базирано на Vue.js, и обширна поддръжка на много езици. Учебната програма е проектирана да работи с Python и Jupyter Notebooks. Препоръчителният…
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AI for Beginners একটি ১২-সপ্তাহের, ২৪-লেসনের পাঠক্রম যা কৃত্রিম বুদ্ধিমত্তার মৌলিক বিষয়গুলি কভার করে। এই শিক্ষামূলক রিপোজিটরিতে রয়েছে Jupyter Notebooks ব্যবহার করে ব্যবহারিক পাঠ, কুইজ এবং হাতে-কলমে ল্যাব। পাঠক্রমটি নিম্নলিখিত বিষয়গুলি অন্তর্ভুক্ত করে: মূল প্রযুক্তি: Python 3, Jupyter Notebooks, TensorFlow, PyTorch, Keras, OpenCV, Vue.js (কুইজ অ্যাপের জন্য) আর্কিটেকচার: Jupyter Notebooks দ্বারা বিষয়ভিত্তিকভাবে সংগঠিত শিক্ষামূলক কন্টেন্ট রিপোজিটরি, Vue.js-ভিত্তিক কুইজ অ্যাপ এবং ব্যাপক বহুভাষিক সমর্থন দ্বারা সম্পূরক। এই পাঠক্রমটি Python এবং Jupyter Notebooks দিয়ে চালানোর জন্য ডিজাইন করা হয়েছে। প্রস্তাবিত পদ্ধতি হলো…
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AI for Beginners je komplexní 12týdenní, 24lekční kurikulum pokrývající základy umělé inteligence. Tento vzdělávací repozitář obsahuje praktické lekce využívající Jupyter Notebooks, kvízy a praktické laboratoře. Kurikulum zahrnuje: Klíčové technologie: Python 3, Jupyter Notebooks, TensorFlow, PyTorch, Keras, OpenCV, Vue.js (pro aplikaci kvízů) Architektura: Vzdělávací obsahový repozitář s Jupyter Notebooks organizovanými podle tematických oblastí, doplněný aplikací kvízů založenou na Vue.js a rozsáhlou podporou více jazyků. Kurikulum je navrženo pro běh s Pythonem a Jupyter Notebooks. Doporučený přístup je použití miniconda: Aplikace kvízů…
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AI for Beginners er et omfattende 12-ugers, 24-lektioners pensum, der dækker grundlæggende principper inden for kunstig intelligens. Dette uddannelsesrepository inkluderer praktiske lektioner med Jupyter Notebooks, quizzer og praktiske laboratorier. Pensum dækker: Nøgleteknologier: Python 3, Jupyter Notebooks, TensorFlow, PyTorch, Keras, OpenCV, Vue.js (til quiz-app) Arkitektur: Uddannelsesindhold repository med Jupyter Notebooks organiseret efter emneområder, suppleret med en Vue.js-baseret quiz-applikation og omfattende flersproget support. Pensum er designet til at køre med Python og Jupyter Notebooks. Den anbefalede tilgang er at bruge miniconda: Quiz-applikationen…
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