π Cutting LLM Memory by 84%: A Deep Dive into Fused Kernels
π Category: LARGE LANGUAGE MODELS
π Date: 2026-01-16 | β±οΈ Read time: 18 min read
Why your final LLM layer is OOMing and how to fix it with a customβ¦
#DataScience #AI #Python
π Category: LARGE LANGUAGE MODELS
π Date: 2026-01-16 | β±οΈ Read time: 18 min read
Why your final LLM layer is OOMing and how to fix it with a customβ¦
#DataScience #AI #Python
π From RGB to Lab: Addressing Color Artifacts in AI Image Compositing
π Category: ARTIFICIAL INTELLIGENCE
π Date: 2026-01-16 | β±οΈ Read time: 13 min read
A multi-tier approach to segmentation, color correction, and domain-specific enhancement
#DataScience #AI #Python
π Category: ARTIFICIAL INTELLIGENCE
π Date: 2026-01-16 | β±οΈ Read time: 13 min read
A multi-tier approach to segmentation, color correction, and domain-specific enhancement
#DataScience #AI #Python
π The Great Data Closure: Why Databricks and Snowflake Are Hitting Their Ceiling
π Category: DATA SCIENCE
π Date: 2026-01-16 | β±οΈ Read time: 13 min read
Acquisitions, venture, and an increasingly competitive landscape all point to a market ceiling
#DataScience #AI #Python
π Category: DATA SCIENCE
π Date: 2026-01-16 | β±οΈ Read time: 13 min read
Acquisitions, venture, and an increasingly competitive landscape all point to a market ceiling
#DataScience #AI #Python
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Forwarded from Machine Learning with Python
π€ Machine Learning Tutorials Repository
1. Python
2. Computer Vision: Techniques, algorithms
3. NLP
4. Matplotlib
5. NumPy
6. Pandas
7. MLOps
8. LLMs
9. PyTorch/TensorFlow
π GitHub: https://github.com/patchy631/machine-learning/tree/main
βοΈ https://t.me/DataScienceT
1. Python
2. Computer Vision: Techniques, algorithms
3. NLP
4. Matplotlib
5. NumPy
6. Pandas
7. MLOps
8. LLMs
9. PyTorch/TensorFlow
git clone https://github.com/patchy631/machine-learningπ GitHub: https://github.com/patchy631/machine-learning/tree/main
βοΈ https://t.me/DataScienceT
π Data Poisoning in Machine Learning: Why and How People Manipulate Training Data
π Category: MACHINE LEARNING
π Date: 2026-01-17 | β±οΈ Read time: 14 min read
Do you know where your data has been?
#DataScience #AI #Python
π Category: MACHINE LEARNING
π Date: 2026-01-17 | β±οΈ Read time: 14 min read
Do you know where your data has been?
#DataScience #AI #Python
β€1
π A Geometric Method to Spot Hallucinations Without an LLM Judge
π Category: LARGE LANGUAGE MODELS
π Date: 2026-01-17 | β±οΈ Read time: 7 min read
Imagine a flock of birds in flight. Thereβs no leader. No central command. Each birdβ¦
#DataScience #AI #Python
π Category: LARGE LANGUAGE MODELS
π Date: 2026-01-17 | β±οΈ Read time: 7 min read
Imagine a flock of birds in flight. Thereβs no leader. No central command. Each birdβ¦
#DataScience #AI #Python
β€2
Forwarded from Machine Learning with Python
Best GitHub repositories to learn AI from scratch in 2026:
1. Andrej Karpathy
https://github.com/karpathy/nn-zero-to-hero
2. Hugging Face Transformers
https://github.com/huggingface/transformers
3. FastAI/fastbook
https://github.com/fastai/fastbook
4. Made-With-ML
https://github.com/GokuMohandas/Made-With-ML
5. ML System Design
https://github.com/chiphuyen/machine-learning-systems-design
6. Awesome Generative AI guide
https://github.com/aishwaryanr/awesome-generative-ai-guide
7. Dive into Deep Learning
https://github.com/d2l-ai/d2l-en
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π The Hidden Opportunity in AI Workflow Automation with n8n for Low-Tech Companies
π Category: ARTIFICIAL INTELLIGENCE
π Date: 2026-01-18 | β±οΈ Read time: 14 min read
How to use n8n with multimodal AI and optimisation tools to help companies with lowβ¦
#DataScience #AI #Python
π Category: ARTIFICIAL INTELLIGENCE
π Date: 2026-01-18 | β±οΈ Read time: 14 min read
How to use n8n with multimodal AI and optimisation tools to help companies with lowβ¦
#DataScience #AI #Python
β€1π€©1
π Why Healthcare Leads in Knowledge Graphs
π Category: DATA SCIENCE
π Date: 2026-01-18 | β±οΈ Read time: 9 min read
How science, regulation, collaboration, and public funding shaped the worldβs most mature semantic infrastructure
#DataScience #AI #Python
π Category: DATA SCIENCE
π Date: 2026-01-18 | β±οΈ Read time: 9 min read
How science, regulation, collaboration, and public funding shaped the worldβs most mature semantic infrastructure
#DataScience #AI #Python
π Bridging the Gap Between Research and Readability with Marco Hening Tallarico
π Category: AUTHOR SPOTLIGHTS
π Date: 2026-01-19 | β±οΈ Read time: 6 min read
Diluting complex research, spotting silent data leaks, and why the best way to learn isβ¦
#DataScience #AI #Python
π Category: AUTHOR SPOTLIGHTS
π Date: 2026-01-19 | β±οΈ Read time: 6 min read
Diluting complex research, spotting silent data leaks, and why the best way to learn isβ¦
#DataScience #AI #Python
π Using Local LLMs to Discover High-Performance Algorithms
π Category: LARGE LANGUAGE MODELS
π Date: 2026-01-19 | β±οΈ Read time: 10 min read
How I used open-source models to explore new frontiers in efficient code generation, using myβ¦
#DataScience #AI #Python
π Category: LARGE LANGUAGE MODELS
π Date: 2026-01-19 | β±οΈ Read time: 10 min read
How I used open-source models to explore new frontiers in efficient code generation, using myβ¦
#DataScience #AI #Python
1
π Time Series Isnβt Enough: How Graph Neural Networks Change Demand Forecasting
π Category: DATA SCIENCE
π Date: 2026-01-19 | β±οΈ Read time: 11 min read
Why modeling SKUs as a network reveals what traditional forecasts miss
#DataScience #AI #Python
π Category: DATA SCIENCE
π Date: 2026-01-19 | β±οΈ Read time: 11 min read
Why modeling SKUs as a network reveals what traditional forecasts miss
#DataScience #AI #Python
π You Probably Donβt Need a Vector Database for Your RAG β Yet
π Category: LARGE LANGUAGE MODELS
π Date: 2026-01-20 | β±οΈ Read time: 14 min read
Numpy or SciKit-Learn might meet all your retrieval needs
#DataScience #AI #Python
π Category: LARGE LANGUAGE MODELS
π Date: 2026-01-20 | β±οΈ Read time: 14 min read
Numpy or SciKit-Learn might meet all your retrieval needs
#DataScience #AI #Python
π Why Package Installs Are Slow (And How to Fix It)
π Category: DATA ENGINEERING
π Date: 2026-01-20 | β±οΈ Read time: 7 min read
How sharded indexing patterns solve a scaling problem in package management
#DataScience #AI #Python
π Category: DATA ENGINEERING
π Date: 2026-01-20 | β±οΈ Read time: 7 min read
How sharded indexing patterns solve a scaling problem in package management
#DataScience #AI #Python
π Does Calendar-Based Time-Intelligence Change Custom Logic?
π Category: DATA SCIENCE
π Date: 2026-01-20 | β±οΈ Read time: 8 min read
Letβs look at calculating the moving average over time
#DataScience #AI #Python
π Category: DATA SCIENCE
π Date: 2026-01-20 | β±οΈ Read time: 8 min read
Letβs look at calculating the moving average over time
#DataScience #AI #Python
π How to Perform Large Code Refactors in Cursor
π Category: AGENTIC AI
π Date: 2026-01-20 | β±οΈ Read time: 10 min read
Learn how to perform code refactoring with LLMs
#DataScience #AI #Python
π Category: AGENTIC AI
π Date: 2026-01-20 | β±οΈ Read time: 10 min read
Learn how to perform code refactoring with LLMs
#DataScience #AI #Python
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Forwarded from Data Science Jupyter Notebooks
π₯ Trending Repository: Data-Science-For-Beginners
π Description: 10 Weeks, 20 Lessons, Data Science for All!
π Repository URL: https://github.com/microsoft/Data-Science-For-Beginners
π Readme: https://github.com/microsoft/Data-Science-For-Beginners#readme
π Statistics:
π Stars: 31.9K stars
π Watchers: 513
π΄ Forks: 6.8K forks
π» Programming Languages: Jupyter Notebook
π·οΈ Related Topics:
==================================
π§ By: https://t.me/DataScienceM
π Description: 10 Weeks, 20 Lessons, Data Science for All!
π Repository URL: https://github.com/microsoft/Data-Science-For-Beginners
π Readme: https://github.com/microsoft/Data-Science-For-Beginners#readme
π Statistics:
π Stars: 31.9K stars
π Watchers: 513
π΄ Forks: 6.8K forks
π» Programming Languages: Jupyter Notebook
π·οΈ Related Topics:
#python #data_science #pandas #data_visualization #data_analysis #microsoft_for_beginners
==================================
π§ By: https://t.me/DataScienceM
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π Google Trends is Misleading You: How to Do Machine Learning with Google Trends Data
π Category: DATA SCIENCE
π Date: 2026-01-21 | β±οΈ Read time: 11 min read
Google Trends is one of the most widely used tools for analysing human behaviour atβ¦
#DataScience #AI #Python
π Category: DATA SCIENCE
π Date: 2026-01-21 | β±οΈ Read time: 11 min read
Google Trends is one of the most widely used tools for analysing human behaviour atβ¦
#DataScience #AI #Python
π If You Want to Become a Data Scientist in 2026, Do This
π Category: DATA SCIENCE
π Date: 2026-01-21 | β±οΈ Read time: 10 min read
Learn from my mistakes and fast track your data science career
#DataScience #AI #Python
π Category: DATA SCIENCE
π Date: 2026-01-21 | β±οΈ Read time: 10 min read
Learn from my mistakes and fast track your data science career
#DataScience #AI #Python
β€1
π Building a Self-Healing Data Pipeline That Fixes Its Own Python Errors
π Category: LLM APPLICATIONS
π Date: 2026-01-21 | β±οΈ Read time: 8 min read
How I built a self-healing pipeline that automatically fixes bad CSVs, schema changes, and weirdβ¦
#DataScience #AI #Python
π Category: LLM APPLICATIONS
π Date: 2026-01-21 | β±οΈ Read time: 8 min read
How I built a self-healing pipeline that automatically fixes bad CSVs, schema changes, and weirdβ¦
#DataScience #AI #Python