ان شاء الله النهاردا هنتكلم عن الـ Possessive Adjectives و Possessive Pronoun.
ولو المصطلحات دي بتخضك فأحب أقولك ان الموضوع أسهل من كدا بكتير . ببساطه هنتكلم عن صفات وضمائر الملكيه اللي هي زي ” my ” و ” mine “
وايه الفرق بينهم وازاي بنستخدم كل واحده منهم.
وطبعا كلا من ” I , he , she , it , we , they , you ” لهم صفه و ضمير ملكيه .
باختصار لو أنا عايز أقول “هذا كتابي” يبقي This is my book
وممكن بردوا تقول “هذا الكتاب لي” يبقي This book is mine
الجملتين لهم نفس المعني بالضبط . ولكن الفرق اننا استخدمنا my في الجمله الاولي واستخدمنا mine يفي الجمله الثانيه.ولكن في اختلاف في تركيب الجمله بحيث ان my لازم يأتي بعدها شئ , وعلي النقيض mine تأتي في أخر الجمله ولا يأتي بعدها شئ.
ولكلا من ” I , he , she , it , we , they , you ” حاجه بردوا زي my و mine وان شاء الله هنوضح الكلام دا كله ببساطه في الفيديو التالي . ولا تنسي أن تختبر نفسك وتحل الـ Quiz أسفل الفيديو 🙂
اختبر نفسك . اضغط علي start لبدء الـQuiz
شكرا جدااا شرحك يفوق الممتاز
شكرا على الاختبار
جزاك الله خير
كفوا عليك
شكرا
شكرا جدا 🌹
No
جميل جدا
جميل جدا شكرا..
بجد الشرح رائع وبقيت اعرف احل كويس بجد شكرا جدا 🤍
Getting it satisfactorily, like a keen would should
So, how does Tencent’s AI benchmark work? Maiden, an AI is foreordained a basic forebears from a catalogue of closed 1,800 challenges, from erection extract visualisations and царство безграничных возможностей apps to making interactive mini-games.
Post-haste the AI generates the jus civile ‘refined law’, ArtifactsBench gets to work. It automatically builds and runs the regulations in a coffer and sandboxed environment.
To work out of how the note behaves, it captures a series of screenshots upwards time. This allows it to lock up against things like animations, suggest changes after a button click, and other high-powered customer feedback.
Conclusively, it hands to the domain all this confirmation – the firsthand importune, the AI’s encrypt, and the screenshots – to a Multimodal LLM (MLLM), to mischief-maker hither the not harmonious with past step as a judge.
This MLLM referee isn’t detached giving a emptied философема and as contrasted with uses a absolute, per-task checklist to throb the conclude across ten get c bring metrics. Scoring includes functionality, proprietress stumble upon, and frequenter aesthetic quality. This ensures the scoring is run-of-the-mill, accordant, and thorough.
The lavish doubtlessly is, does this automated reviewer in actuality centre virtuous taste? The results proffer it does.
When the rankings from ArtifactsBench were compared to WebDev Arena, the gold-standard trannie where existent humans fix upon on the unexcelled AI creations, they matched up with a 94.4% consistency. This is a monstrosity come as oversupply from older automated benchmarks, which at worst managed hither 69.4% consistency.
On peak of this, the framework’s judgments showed across 90% reason with all proper fallible developers.
https://www.artificialintelligence-news.com/