Here's an awesome Github project explaining key AI and ML papers and concepts:
https://github.com/dair-ai/ML-Papers-Explained

#منابع #یادگیری_ماشین #مقاله

✳️ @ai_python

You can now watch the recorded material from #NeurIPS2022 online without registration at:

https://slideslive.com/neurips-2022

#کنفرانس

✳️ @ai_python

New update to deep learning textbook:
Understanding Deep Learning

udlbook.github.io/udlbook/

Many small improvements plus a new chapter on variational autoencoders. This also provides most of the theory for training diffusion models (diffusion chapter coming next week).

#کتاب

✳️ @ai_python

✳️ How to become a data scientist



✳️ @ai_python

✳️ Reinforcement Learning and Stochastic Optimization

#book

✳️@ai_python

Emailing Warren B. Powell - Reinforcement Learning and Stochastic Optimization_ A Unified Framework for Sequential Decisions-Wiley (2022).pdf

Reinforcement Learning from Human Feedback, InstructGPT, and ChatGPT

https://kargarisaac.medium.com/reinforcement-learning-from-human-feedback-instructgpt-and-chatgpt-693d00cb9c58

به کانال میثم علاقمند بودید عضو شین علاقمند هم نبودین به کانالش ملحق نشین 😂 میثم در کانالش موضوعات علمی و... را منتشر میکنه


https://www.linkedin.com/posts/meysam-ac_automation-chatgpt-customerservice-activity-7021393065336545280-bQM1?utm_source=share&utm_medium=member_desktop

✅ @ai_person کانال میثم 👈

✳️ A roadmap for becoming data science expertise

✳️ @ai_python

✅ ROC graph for AUC accuracy

✳️ A Receiver Operating Characteristic (ROC) graph in Python is a plot that illustrates the performance of a binary classification model. The ROC graph plots the true positive rate (TPR) against the false positive rate (FPR) at various threshold settings. The area under the ROC curve (AUC) is a common metric for evaluating the performance of a binary classifier.

In case of multiclass classification, OneVsAll or OneVsRest method is used to split the data into multiple binary classification problems. ROC curve and AUC is calculated for each of the binary classification problem and then average is taken to evaluate the overall performance of the multiclass classification model.

🔗 BlogToLearn
🔗 Github

✳️ @ai_python

The person in this video is not a real person!

She was created by Pantheon Lab, a Start-up at Hong Kong Science Park. 

They have made a lot of progress in the past 2 years to make a very natural face, voice, and lipsync using AI.
This will open up so many opportunities to generate AI characters in the future, especially in the Metaverse/Tiktok.

There are already a couple of AI influencers on Tiktok with millions of followers and advertising contracts with luxury brands.

What do you think about the use cases? (credit: Steve Nouri)

#فیلم

✅ @AI_Python

GLIGEN: Open-Set Grounded Text-to-Image Generation


⭐️ Project: https://gligen.github.io/

⭐️ Demo: https://aka.ms/gligen

✅️ Paper: https://arxiv.org/abs/2301.07093

🖥 Github: https://github.com/gligen/GLIGEN

#مقاله

✅ @AI_Python

✅ machine learning explained

✳️ @ai_python

از کمک خواستن، برای امکان ادامه دادن نباید ترسید.
هیچ فضیلتی در تنهایی رنج کشیدن وجود نداره.
#متفرقه

📽 The Boy, the Mole, the Fox and the Horse

✅ @AI_Python

The recording of "GroNLP presents: An evening with ChatGPT" is now available:
youtu.be/PgpmbXHMEsI

#منابع

✅ @AI_PYTHON

یکی از راههای فوق العاده برای اینکه کنترل بیشتر روی خروجی مدل های زبانی بزرگ داشته باشیم اینه که محققان مایکروسافت کشف کردند:
یه سری کلمات کاملا جدید اختراع کردند و کاری کردند که مدل بر اساس اونها خروجی مورد نظر رو بده. روشی واقعا انقلابی

https://arxiv.org/abs/2212.00616

کورس کلاسی دانشگاه آستین تکزاس
Natural Language Processing at UT Austin (Greg Durrett)

https://youtube.com/playlist?list=PLofp2YXfp7Tbk88uH4jejfXPd2OpWuSLq

#منابع #آموزش_کلاسی #فیلم #کلاس_آموزشی #پردازش_زبان_طبیعی
#NLP

✅ @AI_PYTHON