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প্রম্পট ডিজাইন হল একটি মেশিন লার্নিং মডেল বা অন্যান্য কৃত্রিম বুদ্ধিমত্তা সিস্টেমের জন্য স্পষ্ট এবং বাধ্যতামূলক নির্দেশনা তৈরি করার প্রক্রিয়া। এতে ইনপুট ডেটা, পছন্দসই আউটপুট এবং সীমাবদ্ধতা বা সীমাবদ্ধতা সংজ্ঞায়িত করা জড়িত। প্রম্পট ডিজাইনের লক্ষ্য হল মডেলটি সঠিকভাবে এবং দক্ষতার সাথে যে কাজটি করার উদ্দেশ্যে করা হয়েছে তা সম্পাদন করতে পারে তা নিশ্চিত করা। কার্যকরী প্রম্পট ডিজাইনের জন্য মডেলের ক্ষমতা সম্পর্কে গভীর বোঝার প্রয়োজন।

প্রম্পট ডিজাইন হল একটি মেশিন লার্নিং মডেল বা অন্যান্য কৃত্রিম বুদ্ধিমত্তা সিস্টেমের জন্য স্পষ্ট এবং বাধ্যতামূলক নির্দেশনা তৈরি করার প্রক্রিয়া। এতে ইনপুট ডেটা, পছন্দসই আউটপুট এবং সীমাবদ্ধতা বা সীমাবদ্ধতা সংজ্ঞায়িত করা জড়িত। প্রম্পট ডিজাইনের লক্ষ্য হল মডেলটি সঠিকভাবে এবং দক্ষতার সাথে যে কাজটি করার উদ্দেশ্যে করা হয়েছে তা সম্পাদন করতে পারে তা নিশ্চিত করা। কার্যকরী প্রম্পট ডিজাইনের জন্য মডেলের ক্ষমতা সম্পর্কে গভীর বোঝার প্রয়োজন।

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Prompt design is the process of creating clear and compelling instructions for a machine learning model or other artificial intelligence system. It involves defining the input data, the desired output, and constraints or limitations. The goal of prompt design is to ensure that the model can accurately and efficiently perform the task it is intended for. Effective prompt design requires a deep understanding of the model's capabilities.

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التصميم الفوري هو عملية إنشاء تعليمات واضحة ومقنعة لنموذج التعلم الآلي أو أي نظام ذكاء اصطناعي آخر. ويتضمن تحديد بيانات الإدخال والمخرجات المطلوبة والقيود أو القيود. الهدف من التصميم الفوري هو التأكد من أن النموذج يمكنه أداء المهمة المقصودة بدقة وكفاءة. يتطلب التصميم الفوري الفعال فهمًا عميقًا لقدرات النموذج.

التصميم الفوري هو عملية إنشاء تعليمات واضحة ومقنعة لنموذج التعلم الآلي أو أي نظام ذكاء اصطناعي آخر. ويتضمن تحديد بيانات الإدخال والمخرجات المطلوبة والقيود أو القيود. الهدف من التصميم الفوري هو التأكد من أن النموذج يمكنه أداء المهمة المقصودة بدقة وكفاءة. يتطلب التصميم الفوري الفعال فهمًا عميقًا لقدرات النموذج.

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Prompt design is the process of creating clear and compelling instructions for a machine learning model or other artificial intelligence system. It involves defining the input data, the desired output, and constraints or limitations. The goal of prompt design is to ensure that the model can accurately and efficiently perform the task it is intended for. Effective prompt design requires a deep understanding of the model's capabilities.

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Vinnige ontwerp is die proses om duidelike en dwingende instruksies vir 'n masjienleermodel of ander kunsmatige intelligensiestelsel te skep. Dit behels die definisie van die insetdata, die verlangde uitset, en beperkings of beperkings. Die doel van vinnige ontwerp is om te verseker dat die model die taak waarvoor dit bedoel is akkuraat en doeltreffend kan uitvoer. Effektiewe vinnige ontwerp vereis 'n diepgaande begrip van die model se vermoëns.

Vinnige ontwerp is die proses om duidelike en dwingende instruksies vir 'n masjienleermodel of ander kunsmatige intelligensiestelsel te skep. Dit behels die definisie van die insetdata, die verlangde uitset, en beperkings of beperkings. Die doel van vinnige ontwerp is om te verseker dat die model die taak waarvoor dit bedoel is akkuraat en doeltreffend kan uitvoer. Effektiewe vinnige ontwerp vereis 'n diepgaande begrip van die model se vermoëns.

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Prompt design is the process of creating clear and compelling instructions for a machine learning model or other artificial intelligence system. It involves defining the input data, the desired output, and constraints or limitations. The goal of prompt design is to ensure that the model can accurately and efficiently perform the task it is intended for. Effective prompt design requires a deep understanding of the model's capabilities.

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Mô hình ngôn ngữ lớn là các chương trình máy tính có thể hiểu và tạo ra văn bản giống con người. Họ được đào tạo về các tập dữ liệu văn bản và mã khổng lồ, cho phép họ tìm hiểu các mẫu và cấu trúc của ngôn ngữ. Những mô hình này có thể thực hiện nhiều nhiệm vụ khác nhau, bao gồm dịch ngôn ngữ, trả lời câu hỏi, tóm tắt văn bản và viết sáng tạo. Chúng được sử dụng trong nhiều ứng dụng như chatbot, công cụ tìm kiếm và công cụ học ngôn ngữ.

Mô hình ngôn ngữ lớn là các chương trình máy tính có thể hiểu và tạo ra văn bản giống con người. Họ được đào tạo về các tập dữ liệu văn bản và mã khổng lồ, cho phép họ tìm hiểu các mẫu và cấu trúc của ngôn ngữ. Những mô hình này có thể thực hiện nhiều nhiệm vụ khác nhau, bao gồm dịch ngôn ngữ, trả lời câu hỏi, tóm tắt văn bản và viết sáng tạo. Chúng được sử dụng trong nhiều ứng dụng như chatbot, công cụ tìm kiếm và công cụ học ngôn ngữ.

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Large language models are computer programs that can understand and generate human-like text. They are trained on massive datasets of text and code, allowing them to learn the patterns and structures of language. These models can perform various tasks, including language translation, question answering, text summarization, and creative writing. They are used in multiple applications like chatbots, search engines, and language-learning tools.

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Великі мовні моделі — це комп’ютерні програми, які можуть розуміти та генерувати текст, подібний до людини. Вони навчаються на масивних наборах тексту та коду, що дозволяє їм вивчати шаблони та структури мови. Ці моделі можуть виконувати різні завдання, включаючи мовний переклад, відповіді на запитання, узагальнення тексту та творче написання. Вони використовуються в багатьох програмах, таких як чат-боти, пошукові системи та інструменти для вивчення мови.

Великі мовні моделі — це комп’ютерні програми, які можуть розуміти та генерувати текст, подібний до людини. Вони навчаються на масивних наборах тексту та коду, що дозволяє їм вивчати шаблони та структури мови. Ці моделі можуть виконувати різні завдання, включаючи мовний переклад, відповіді на запитання, узагальнення тексту та творче написання. Вони використовуються в багатьох програмах, таких як чат-боти, пошукові системи та інструменти для вивчення мови.

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Large language models are computer programs that can understand and generate human-like text. They are trained on massive datasets of text and code, allowing them to learn the patterns and structures of language. These models can perform various tasks, including language translation, question answering, text summarization, and creative writing. They are used in multiple applications like chatbots, search engines, and language-learning tools.

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