Metis-Imagine Models Prompting.pdf
8.3 MB
آموزش پارامترهای مدلهای تولید تصویر. با این هندبوک میتونید خروجیهای مدلهای تولید تصویر رو تحت کنترل بیشتری قرار بدید.
#handbook
#image
#model
@lifeAsAService
#handbook
#image
#model
@lifeAsAService
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احمقانهترین شیوهی استفاده از اعتبار اسم دانشگاه شریف رو دانشکده کامپیوترش با برگزاری میکرومستر داره میکنه.
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Forwarded from اوراق آرگو
تو این بلاگ نشون داده شده که حتی ساخت یک object اضافه در یک سیستم با throughput بالا، میتونه چه تاثیری روی performance سیستم داشته باشه. پیشنهادش هم این هستش که میگه یک short-lived object رو ایجاد و بعد garbage نکنیم، بلکه بیایم همین object رو برای استفاده بعدی clean up کنیم که به نظرم کلا مغایر با clean code و خیلی از best practice ها هستش ولی خب بستگی داره که شما از سیستمتون چه انتظاری دارید و باید طبق اون انتظار تصمیم بگیرید. به قول معروف:
we always talk about tradeoffs
https://blog.vanillajava.blog/2022/09/java-is-very-fast-if-you-dont-create.html
we always talk about tradeoffs
https://blog.vanillajava.blog/2022/09/java-is-very-fast-if-you-dont-create.html
blog.vanillajava.blog
Java is Very Fast, If You Don’t Create Many Objects
You still have to watch how many objects you create. This article looks at a benchmark passing events over TCP/IP at 4 billion events per ...
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Forwarded from Sharif MLL (Mahdi)
🚨 Open Research Position: Symbolic Representation Learning.
We announce that there is an open research position in the ML lab at Sharif University of Technology, supervised by Dr. Soleymani.
🔍 Project Description:
We are pleased to announce an open call for applicants to join a cutting-edge research project on Symbolic Representation Learning. If you are passionate about artificial intelligence, machine learning, cognitive science, or the intersection of representation and language, this is your opportunity to contribute to groundbreaking work at the forefront of these fields.
Our project is dedicated to advancing symbolic representation learning, an area of research focused on enabling machines to represent and reason with structured language including symbols. This research aims to bridge the gap between neural networks' statistical learning and the symbolic, structured knowledge representations that are central to human cognition. We will explore new techniques for creating and reasoning with symbolic representations in AI systems.
Requirements:
- Good understanding of deep learning concepts
- Fluency in Python, PyTorch
- Willingness to dedicate significant time
Submit your application here:
Application Form
Application Deadline:
2024/12/01 (23:59 UTC+3:30)
If you have any questions, contact:
@mmsamiei
We announce that there is an open research position in the ML lab at Sharif University of Technology, supervised by Dr. Soleymani.
🔍 Project Description:
We are pleased to announce an open call for applicants to join a cutting-edge research project on Symbolic Representation Learning. If you are passionate about artificial intelligence, machine learning, cognitive science, or the intersection of representation and language, this is your opportunity to contribute to groundbreaking work at the forefront of these fields.
Our project is dedicated to advancing symbolic representation learning, an area of research focused on enabling machines to represent and reason with structured language including symbols. This research aims to bridge the gap between neural networks' statistical learning and the symbolic, structured knowledge representations that are central to human cognition. We will explore new techniques for creating and reasoning with symbolic representations in AI systems.
Requirements:
- Good understanding of deep learning concepts
- Fluency in Python, PyTorch
- Willingness to dedicate significant time
Submit your application here:
Application Form
Application Deadline:
2024/12/01 (23:59 UTC+3:30)
If you have any questions, contact:
@mmsamiei
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