اين يكي مطالبي خوندم جالب بود شما هم دوست داشتيد بخونيد زير لينك ميزارم براتون !
https://towardsdatascience.com/mastering-customer-segmentation-with-llm-3d9008235f41
لينك گيتهاب سورس
https://github.com/damiangilgonzalez1995/Clustering-with-LLM/tree/main
@MachineLearningProjectss
https://towardsdatascience.com/mastering-customer-segmentation-with-llm-3d9008235f41
لينك گيتهاب سورس
https://github.com/damiangilgonzalez1995/Clustering-with-LLM/tree/main
@MachineLearningProjectss
عجيب اما واقعي!
سم اخراج شد
Mr. Altman’s departure follows a deliberative review process by the board, which concluded that he was not consistently candid in his communications with the board, hindering its ability to exercise its responsibilities. The board no longer has confidence in his ability to continue leading OpenAI.
https://openai.com/blog/openai-announces-leadership-transition
سم اخراج شد
Mr. Altman’s departure follows a deliberative review process by the board, which concluded that he was not consistently candid in his communications with the board, hindering its ability to exercise its responsibilities. The board no longer has confidence in his ability to continue leading OpenAI.
https://openai.com/blog/openai-announces-leadership-transition
برترین مقالات هفته ماشین لرنینگ
1 - Emu Video and Emu Edit
https://ai.meta.com/blog/emu-text-to-video-generation-image-editing-research/
2 - Chain-of-Note
https://arxiv.org/abs/2311.09210
1 - Emu Video and Emu Edit
https://ai.meta.com/blog/emu-text-to-video-generation-image-editing-research/
2 - Chain-of-Note
https://arxiv.org/abs/2311.09210
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اگه نمیتونی توی Latex فرمول بنویسی، از این روش استفاده کن
کسایی که با Latex کار کردن میدونن چقدر دردسر داره، مخصوصا نوشتن فرمولاش.
با این روش کافیه از هر فرمولی اسکرین بگیری و کد Latex رو بهت میده.
دربارش توی گیت هاب بیشتر بخونین و ازش استفاده کنین:
https://github.com/lukas-blecher/LaTeX-OCR
کسایی که با Latex کار کردن میدونن چقدر دردسر داره، مخصوصا نوشتن فرمولاش.
با این روش کافیه از هر فرمولی اسکرین بگیری و کد Latex رو بهت میده.
دربارش توی گیت هاب بیشتر بخونین و ازش استفاده کنین:
https://github.com/lukas-blecher/LaTeX-OCR
❤1
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📹 Stability AI has released a model for generating videos from text
Stable Video Diffusion
در دو نسخه موجود است: برای تولید ویدیو با سرعت 14 و 25 فریم در ثانیه. با توجه به معیارهای داخلی، این مدل با کد منبع بسته از Runway و Pika Labs از رقبا بهتر عمل می کند.
كد گيتهاب هم به زودي ميزارم براتون
Stable Video Diffusion
در دو نسخه موجود است: برای تولید ویدیو با سرعت 14 و 25 فریم در ثانیه. با توجه به معیارهای داخلی، این مدل با کد منبع بسته از Runway و Pika Labs از رقبا بهتر عمل می کند.
كد گيتهاب هم به زودي ميزارم براتون
https://youtube.com/playlist?list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI&si=RVUcxG-Nzoc5_rZ9
اموزش خوبي ميده اگه دوست داشتيد ميتونيد بريد ببينيد
اموزش خوبي ميده اگه دوست داشتيد ميتونيد بريد ببينيد
Introduction to Machine Learning with Python and Scikit-Learn Course
Another FreeCodeCamp course recently published for machine learning with Python. This is a long one (18 hours) that provides an in-depth introduction to machine learning and covers topics such as:
Linear Regression and Gradient Descent
Logistic Regression for Classification
Decision Trees and Random Forests
Gradient Boosting Machines with XGBoost
Unsupervised Learning using Scikit-Learn
Machine Learning Project from Scratch
Deploying a Machine Learning Project with Flask
https://www.youtube.com/watch?v=hDKCxebp88A
Another FreeCodeCamp course recently published for machine learning with Python. This is a long one (18 hours) that provides an in-depth introduction to machine learning and covers topics such as:
Linear Regression and Gradient Descent
Logistic Regression for Classification
Decision Trees and Random Forests
Gradient Boosting Machines with XGBoost
Unsupervised Learning using Scikit-Learn
Machine Learning Project from Scratch
Deploying a Machine Learning Project with Flask
https://www.youtube.com/watch?v=hDKCxebp88A
YouTube
Machine Learning with Python and Scikit-Learn – Full Course
This course is a practical and hands-on introduction to Machine Learning with Python and Scikit-Learn for beginners with basic knowledge of Python and statistics.
It is designed and taught by Aakash N S, CEO and co-founder of Jovian. Check out their YouTube…
It is designed and taught by Aakash N S, CEO and co-founder of Jovian. Check out their YouTube…
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LM Studio: Discover, download, and run local LLMs
اين يكي جالب بود ميتونيد با استفاده از این استودیو میتونید هر نوع مدل زبانی رو کاملا آفلاین روی سیستمتون اجرا کنید!
https://lmstudio.ai/
اين يكي جالب بود ميتونيد با استفاده از این استودیو میتونید هر نوع مدل زبانی رو کاملا آفلاین روی سیستمتون اجرا کنید!
https://lmstudio.ai/
اموزش يادگيري تقويتي
Deep Reinforcement Learning
Course - Hugging Face Deep RL Course
https://bit.ly/45WhVgG
Deep Reinforcement Learning
Course - Hugging Face Deep RL Course
https://bit.ly/45WhVgG
huggingface.co
Welcome to the 🤗 Deep Reinforcement Learning Course - Hugging Face Deep RL Course
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
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اين يكي مقاله خوندم جذاب بود و دمو ، گيتهاب ، مقاله زير ميزارم براتون
https://trex-counting.github.io
https://arxiv.org/pdf/2311.13596.pdf
https://github.com/IDEA-Research/T-Rex
https://trex-counting.github.io
https://arxiv.org/pdf/2311.13596.pdf
https://github.com/IDEA-Research/T-Rex
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Zero to Hero LLMs
اگه مدل LLMs مثل چت جي بي تي خواستيد ياد بگيريد ميتونيد از زير لينك بريد ياد بگيريد
https://github.com/louisfb01/start-llms
اگه مدل LLMs مثل چت جي بي تي خواستيد ياد بگيريد ميتونيد از زير لينك بريد ياد بگيريد
https://github.com/louisfb01/start-llms
Understanding Deep Learning
به یک کتاب برای آشنایی با مفاهیم یادگیری عمیق برخوردم که سرفصلهای نسبتا خوبی داشت؛ فایلش رو براتون در پست بعدی قرار میدم.
به یک کتاب برای آشنایی با مفاهیم یادگیری عمیق برخوردم که سرفصلهای نسبتا خوبی داشت؛ فایلش رو براتون در پست بعدی قرار میدم.
بهترین مقالات این هفته
System 2 Attention
https://arxiv.org/abs/2311.11829
Advancing Long-Context LLMs
https://arxiv.org/abs/2311.12351
Parallel Speculative Sampling
https://arxiv.org/abs/2311.13581
Mirasol3B
https://arxiv.org/abs/2311.05698
Teaching Small LMs To Reason
https://arxiv.org/abs/2311.11045
GPQA
https://arxiv.org/abs/2311.12022
The Hitchhiker’s Guide From Chain-of-Thought Reasoning to Language Agents
https://arxiv.org/abs/2311.11797
GAIA
https://arxiv.org/abs/2311.12983
LLMs as Collaborators for Medical Reasoning
https://arxiv.org/abs/2311.10537
TÜLU 2
https://arxiv.org/abs/2311.10702
System 2 Attention
https://arxiv.org/abs/2311.11829
Advancing Long-Context LLMs
https://arxiv.org/abs/2311.12351
Parallel Speculative Sampling
https://arxiv.org/abs/2311.13581
Mirasol3B
https://arxiv.org/abs/2311.05698
Teaching Small LMs To Reason
https://arxiv.org/abs/2311.11045
GPQA
https://arxiv.org/abs/2311.12022
The Hitchhiker’s Guide From Chain-of-Thought Reasoning to Language Agents
https://arxiv.org/abs/2311.11797
GAIA
https://arxiv.org/abs/2311.12983
LLMs as Collaborators for Medical Reasoning
https://arxiv.org/abs/2311.10537
TÜLU 2
https://arxiv.org/abs/2311.10702