Parallax: A Parameterized Local Linear Attention That Keeps Softmax and Adds a Learned Covariance Correction Branch π§ β¨
The Transformerβs attention mechanism has barely changed since 2017. Most efficiency work has tried to replace softmax attention outright. A new paper takes a different route. It keeps softmax attention and bolts on a correction branch. π
A team of researchers from Northwestern University, Tilde Research, and University of Washington introduce a parameterized Local Linear Attention called βParallaxβ that scales to LLM pretraining and codesigns with Muon. π
Parallax does not chase efficiency by cutting compute. It adds compute deliberately, then makes that compute cheaper to run on modern GPUs. π»β‘
More: https://www.marktechpost.com/2026/05/31/parallax-a-parameterized-local-linear-attention-that-keeps-softmax-and-adds-a-learned-covariance-correction-branch/
#Parallax #LLM #AI #DeepLearning #Transformer #TechNews
β¨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
The Transformerβs attention mechanism has barely changed since 2017. Most efficiency work has tried to replace softmax attention outright. A new paper takes a different route. It keeps softmax attention and bolts on a correction branch. π
A team of researchers from Northwestern University, Tilde Research, and University of Washington introduce a parameterized Local Linear Attention called βParallaxβ that scales to LLM pretraining and codesigns with Muon. π
Parallax does not chase efficiency by cutting compute. It adds compute deliberately, then makes that compute cheaper to run on modern GPUs. π»β‘
More: https://www.marktechpost.com/2026/05/31/parallax-a-parameterized-local-linear-attention-that-keeps-softmax-and-adds-a-learned-covariance-correction-branch/
#Parallax #LLM #AI #DeepLearning #Transformer #TechNews
β¨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
β€5
If you already have 200 open tabs with courses, articles, and GitHub repositories on ML, this repository might save the situation a bit. π
Awesome Machine Learning Resources is a huge collection of sub-collections on machine learning, deep learning, and AI. π€
Instead of endless Google searches, everything is organized into categories:
β’ fundamentals of machine learning
β’ neural networks and modern architectures
β’ tasks and application areas
β’ datasets
β’ libraries and tools
β’ fairness and AI ethics
β’ production ML and MLOps
Each link has a short description, so you can quickly understand whether it's worth opening it or skipping it. π
I particularly liked that the authors mark abandoned collections with an icon if they haven't been updated in over a year. β οΈ
https://github.com/ZhiningLiu1998/awesome-machine-learning-resources
#MachineLearning #DeepLearning #AI #MLOps #DataScience #TechResources
β¨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
Awesome Machine Learning Resources is a huge collection of sub-collections on machine learning, deep learning, and AI. π€
Instead of endless Google searches, everything is organized into categories:
β’ fundamentals of machine learning
β’ neural networks and modern architectures
β’ tasks and application areas
β’ datasets
β’ libraries and tools
β’ fairness and AI ethics
β’ production ML and MLOps
Each link has a short description, so you can quickly understand whether it's worth opening it or skipping it. π
I particularly liked that the authors mark abandoned collections with an icon if they haven't been updated in over a year. β οΈ
https://github.com/ZhiningLiu1998/awesome-machine-learning-resources
#MachineLearning #DeepLearning #AI #MLOps #DataScience #TechResources
β¨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
β€2
Forwarded from Vinayak Chiluka
π Want to accelerate your career in Technology, Cloud, AI, DevOps, Data Engineering, Cybersecurity, Software Development, and Project Management?
At HelloEncyclo, we're building a comprehensive AI-powered learning platform designed to help students, professionals, and career switchers gain practical, industry-relevant skills through structured learning paths.
β Expert-curated content
β Lifetime access options
β Learn at your own pace
β Career-focused learning paths
β Regular content updates
β Affordable pricing
π Exclusive Offer: Get FLAT 45% OFF on all courses using my referral link:
https://lnkd.in/gPdBThvM
π’ Stay updated with new course launches, discounts, learning resources, interview preparation tips, and career guidance:
π² Telegram Community:
https://t.me/helloencyclo
π² WhatsApp Community:
https://lnkd.in/g5DVnSt8
Whether you're preparing for your next job, aiming for a promotion, earning certifications, or simply upgrading your skills, HelloEncyclo is here to support
At HelloEncyclo, we're building a comprehensive AI-powered learning platform designed to help students, professionals, and career switchers gain practical, industry-relevant skills through structured learning paths.
β Expert-curated content
β Lifetime access options
β Learn at your own pace
β Career-focused learning paths
β Regular content updates
β Affordable pricing
π Exclusive Offer: Get FLAT 45% OFF on all courses using my referral link:
https://lnkd.in/gPdBThvM
π’ Stay updated with new course launches, discounts, learning resources, interview preparation tips, and career guidance:
π² Telegram Community:
https://t.me/helloencyclo
π² WhatsApp Community:
https://lnkd.in/g5DVnSt8
Whether you're preparing for your next job, aiming for a promotion, earning certifications, or simply upgrading your skills, HelloEncyclo is here to support
This media is not supported in your browser
VIEW IN TELEGRAM
Someone spent several months manually writing a 200-page guide on mathematics and the basics of machine learning. π
No marketing fluff or endless links between articles. Just an attempt to gather all the most important things in one place. π―
Inside:
β’ neural networks: backpropagation, SGD, Adam, BatchNorm; βοΈ
β’ classic ML: SVM, Gradient Boosting, K-Means, PCA; π
β’ hardware for AI: Tensor Cores, Systolic Arrays, CUDA; π₯οΈ
β’ transformers: Multi-Head Attention, KV Cache, LoRA; π§
β’ computer vision: ViT, CNN, MAE, IoU, NMS, VLM; ποΈ
β’ agent systems: ReAct, memory, orchestration, OpenClaw. π€
The author describes it as the material he would have wanted to receive himself several years ago. π°οΈ
And yes, the entire guide is distributed free of charge. π
https://www.arjunvirk.com/writing/ml-guide
#MachineLearning #AI #DeepLearning #DataScience #NeuralNetworks #Tech
β¨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
No marketing fluff or endless links between articles. Just an attempt to gather all the most important things in one place. π―
Inside:
β’ neural networks: backpropagation, SGD, Adam, BatchNorm; βοΈ
β’ classic ML: SVM, Gradient Boosting, K-Means, PCA; π
β’ hardware for AI: Tensor Cores, Systolic Arrays, CUDA; π₯οΈ
β’ transformers: Multi-Head Attention, KV Cache, LoRA; π§
β’ computer vision: ViT, CNN, MAE, IoU, NMS, VLM; ποΈ
β’ agent systems: ReAct, memory, orchestration, OpenClaw. π€
The author describes it as the material he would have wanted to receive himself several years ago. π°οΈ
And yes, the entire guide is distributed free of charge. π
https://www.arjunvirk.com/writing/ml-guide
#MachineLearning #AI #DeepLearning #DataScience #NeuralNetworks #Tech
β¨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
β€3
Forwarded from Machine Learning with Python
π SPOTO Mid-Year Sale β Grab Your IT Certification Success Kit!
π₯ Whether you're prepping for #Python, #AI, #Cisco, #PMI, #Fortinet, #AWS, #Azure, #Excel, #Comptia, #ITIL, #Cloud or any other hot certification β SPOTO has your back with real exam dumps and hands-on training!
β Free Resources:
γ»Free Python, Excel, Cyber Security, Cisco, SQL, ITIL, PMP, AWS courses: https://bit.ly/4alTSfk
γ»IT Certs E-book: https://bit.ly/49ub0zq
γ»IT Exams Skill Test: https://bit.ly/4dVPapB
γ»Free AI material and support tools: https://bit.ly/4elzcpl
γ»Free Cloud Study Guide: https://bit.ly/4u7sdG0
π Join SPOTO Mid-Year Lucky Draw:
π± iPhone 17 π Free Order
π Amazon Gift $100 πPMP/ AWS/ CCNA Course
π Enter the Draw Now β https://bit.ly/4uN3lVt
π Join Our IT Learning Community for free resources & support:
https://chat.whatsapp.com/FQOG04r9xSiIa2ElhaNUJU
π¬ Want exam help? Chat with an admin now:
https://wa.link/knicza
β° Mid-Year Deal Ends Soon β Don't Miss Out!
π₯ Whether you're prepping for #Python, #AI, #Cisco, #PMI, #Fortinet, #AWS, #Azure, #Excel, #Comptia, #ITIL, #Cloud or any other hot certification β SPOTO has your back with real exam dumps and hands-on training!
β Free Resources:
γ»Free Python, Excel, Cyber Security, Cisco, SQL, ITIL, PMP, AWS courses: https://bit.ly/4alTSfk
γ»IT Certs E-book: https://bit.ly/49ub0zq
γ»IT Exams Skill Test: https://bit.ly/4dVPapB
γ»Free AI material and support tools: https://bit.ly/4elzcpl
γ»Free Cloud Study Guide: https://bit.ly/4u7sdG0
π Join SPOTO Mid-Year Lucky Draw:
π± iPhone 17 π Free Order
π Amazon Gift $100 πPMP/ AWS/ CCNA Course
π Enter the Draw Now β https://bit.ly/4uN3lVt
π Join Our IT Learning Community for free resources & support:
https://chat.whatsapp.com/FQOG04r9xSiIa2ElhaNUJU
π¬ Want exam help? Chat with an admin now:
https://wa.link/knicza
β° Mid-Year Deal Ends Soon β Don't Miss Out!
Get 30 to 50% of your crypto trading fees back, in USDT, across 10 exchanges (Bybit, Binance, OKX and more).
Zero account access, keep trading as you do now.
trade-reclaim.com
Zero account access, keep trading as you do now.
trade-reclaim.com
β€3
π A large collection of AI projects for practice
We found a repository that will help you move from theory to real development of AI applications.
Inside are dozens of ready-made projects: AI analytics, RAG systems, OCR applications, code review agents, travel assistants, and much more.
βοΈ Link to GitHub: https://github.com/Sumanth077/Hands-On-AI-Engineering
#AI #MachineLearning #Python #DataScience #OpenSource #Tech
β¨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
We found a repository that will help you move from theory to real development of AI applications.
Inside are dozens of ready-made projects: AI analytics, RAG systems, OCR applications, code review agents, travel assistants, and much more.
βοΈ Link to GitHub: https://github.com/Sumanth077/Hands-On-AI-Engineering
#AI #MachineLearning #Python #DataScience #OpenSource #Tech
β¨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
β€5
Multi-Label Text Classification with Scikit-LLM π
In this article, you will learn how to perform multi-label text classification using large language models and the scikit-LLM library, without the need for labeled training data or complex model training. π
Topics we will cover include:
What multi-label classification is and why it matters for nuanced text analysis. π
How to set up and configure scikit-LLM with a free, open-source LLM from Groq for zero-shot inference. βοΈ
How to load a real-world dataset and run multi-label sentiment predictions using a familiar scikit-learn-style workflow. π
Read: https://machinelearningmastery.com/multi-label-text-classification-with-scikit-llm/ π
#ScikitLLM #TextClassification #LLM #MachineLearning #ZeroShot #DataScience
β¨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
In this article, you will learn how to perform multi-label text classification using large language models and the scikit-LLM library, without the need for labeled training data or complex model training. π
Topics we will cover include:
What multi-label classification is and why it matters for nuanced text analysis. π
How to set up and configure scikit-LLM with a free, open-source LLM from Groq for zero-shot inference. βοΈ
How to load a real-world dataset and run multi-label sentiment predictions using a familiar scikit-learn-style workflow. π
Read: https://machinelearningmastery.com/multi-label-text-classification-with-scikit-llm/ π
#ScikitLLM #TextClassification #LLM #MachineLearning #ZeroShot #DataScience
β¨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
β€2
Forwarded from Machine Learning with Python
I often see people say that it's impossible to enter the IT field without expensive courses.
However, there's a huge amount of high-quality materials available for free:
π Computer Science
https://github.com/ossu/computer-science
π Data Structures & Algorithms
https://github.com/jwasham/coding-interview-university
π System Design
https://github.com/donnemartin/system-design-primer
π Web Development
https://github.com/TheOdinProject/curriculum
π Frontend / Backend / DevOps / Cloud
https://github.com/kamranahmedse/developer-roadmap
π Data Engineering
https://github.com/DataTalksClub/data-engineering-zoomcamp
π Machine Learning & AI
https://github.com/microsoft/ML-For-Beginners
π MLOps
https://github.com/DataTalksClub/mlops-zoomcamp
π Cybersecurity
https://github.com/OWASP/CheatSheetSeries
π Linux
https://github.com/trimstray/the-book-of-secret-knowledge
π Free Programming Books
https://github.com/EbookFoundation/free-programming-books
If you have internet and a bit of free time, you can learn computer science, algorithms, system design, DevOps, clouds, security, and machine learning for free.
The problem now isn't a lack of information. The problem is regularly opening these repositories and actually working on them.
#FreeLearning #ITCareer #CodingResources #TechEducation #OpenSource #DevCommunity
β¨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
However, there's a huge amount of high-quality materials available for free:
π Computer Science
https://github.com/ossu/computer-science
π Data Structures & Algorithms
https://github.com/jwasham/coding-interview-university
π System Design
https://github.com/donnemartin/system-design-primer
π Web Development
https://github.com/TheOdinProject/curriculum
π Frontend / Backend / DevOps / Cloud
https://github.com/kamranahmedse/developer-roadmap
π Data Engineering
https://github.com/DataTalksClub/data-engineering-zoomcamp
π Machine Learning & AI
https://github.com/microsoft/ML-For-Beginners
π MLOps
https://github.com/DataTalksClub/mlops-zoomcamp
π Cybersecurity
https://github.com/OWASP/CheatSheetSeries
π Linux
https://github.com/trimstray/the-book-of-secret-knowledge
π Free Programming Books
https://github.com/EbookFoundation/free-programming-books
If you have internet and a bit of free time, you can learn computer science, algorithms, system design, DevOps, clouds, security, and machine learning for free.
The problem now isn't a lack of information. The problem is regularly opening these repositories and actually working on them.
#FreeLearning #ITCareer #CodingResources #TechEducation #OpenSource #DevCommunity
β¨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk
βοΈ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
π Level up your AI & Data Science skills with HelloEncyclo β a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
β 13 courses live + 40+ coming soon
π― One access, lifetime updates
π Use code: PRESALE-BOOK-WAVE-2GFG
π https://helloencyclo.com/?ref=HUSSEINSHEIKHO
GitHub
GitHub - ossu/computer-science: π Path to a free self-taught education in Computer Science!
π Path to a free self-taught education in Computer Science! - ossu/computer-science
β€3