khalid ali @Learningfor_all
Egyptian Interested in Deep Learning. Joined July 2022-
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Decoding Strategies in NLP هكتب بعض الاوراق عن هذا الموضوع 1
بمعنى أنا هنا هقدر أتوقع الرقم التالي اللي هيظهر على البرنامج. بمعنى البرنامج أنا بقدر أستخدمه وأتحكم فيه بنفسي بمعنى أشغله أو لا..يعني تحت سيطرتي..وبس. خالد علي 5
وبالتالي انا عارف الرقم التالي اللي هيطلع من الماكينة أو البرنامج بتاع الكمبيوتر.يبقى إزاى هنقول إنها عشوائية!!!! وفين العشوائية هنا!!! ده معناه إن البرنامج ده أو الماكينة دي لاتحتوي أي عشوائية طالما أنا أقدر أستخدمها. 4
لنفرض طلبت منه يطلع أرقام وكل مرة هسجل الأرقام دي عندي على الكمبيوتر وسجلت مثلاً مليون رقم.وطبعتهم على ورق.وهرجع أشغل البرنامج مرة أخرى بنفس ال seed وهيبدأ تطلع أرقام عشوائية Random numbers لكن طبعاً بيطلع نفس ال sequence بتاع الأرقام 3
شرحت قبل كده موضوع ال Monte Carlo methods Markov chain وقولت إن فيه تكاملات integrations مش بنعرف نحسبها رياضياً. وبتكون intractable وقولت إنها عشان تتحسب بيتم توليد أرقام عشوائية بتمكنا من حساب هذه التكاملات الرياضية.وطبعاً الطرق دي بيتم إستخدامها في الذكاء الإصطناعي. 1
فتخيل لو جبنا ماكينة بتولد أرقام عشوائية أو بنستخدم Radom number generator وطبعاً إنت بالبداية بتعطي رقم للماكينة أو لبرنامج الكمبيوتر وهو seed بعد كده بيبدأ البرنامج يشتغل ويطلعلك الارقام العشوائية بالعدد المطلوب. 2
النوع التاني هو الناتج عن الجهل وهو Epistemic uncertainty ده لما يكون حدث تم بالفعل لكن مش عارفين نتيجته لكن ممكن غيرنا يكون عارف نتيجته.زي إلقاء عملة واللي ألقاها عارف نتيجتها واللي امامه لايعلم وعنده عدم يقين ناتج عن الجهل او نقص المعلومة. ٢
Uncertainty المصطلح ده معناه عدم اليقين يعني إدراكنا بجهلنا تجاه أمر غير قادرين على توقعه. وفيه منه نوعين..الاول هو Aleatory Uncertainty وهو عدم يقين ناتج عن عشوائية.بيحصل لما يكون الحدث لسه هيحصل وفيه عشوائية أو عدم قدرة على توقعه زي لما نرمي عملة وعايزين نحدد الوجه الناتج. ١
👇 مهم
Our MIT class “6.S184: Introduction to Flow Matching and Diffusion Models” is now available on YouTube! We teach state-of-the-art generative AI algorithms for images, videos, proteins, etc. together with the mathematical tools to understand them. diffusion.csail.mit.edu (1/4)
عدم وضوح الهدف مزعج لصاحبه.لأن الحيرة مرهقة.
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ال gradient descent بيحاول يوصل للنقطة اللي بتخلي الخطأ أقل مايكون أو الدقة أفضل مايكون.أو بنقول إنه حصل Convergence وبالتالي هو مسار بتمشي فيه عشان توصل لهذه النقطة من خلال السير في هذا الفضاء زي مسيرة الإنسان بالحياة عشان يوصل لنقطة أو لمرحلة يشعر عندها إنه حصل Convergence
@sirbayes Some people may prefer point estimation and will change the range to a single value, which is the highest.
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