📌 Cutting LLM Memory by 84%: A Deep Dive into Fused Kernels
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2026-01-16 | ⏱️ Read time: 18 min read
Why your final LLM layer is OOMing and how to fix it with a custom…
#DataScience #AI #Python
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2026-01-16 | ⏱️ Read time: 18 min read
Why your final LLM layer is OOMing and how to fix it with a custom…
#DataScience #AI #Python
📌 From RGB to Lab: Addressing Color Artifacts in AI Image Compositing
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2026-01-16 | ⏱️ Read time: 13 min read
A multi-tier approach to segmentation, color correction, and domain-specific enhancement
#DataScience #AI #Python
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2026-01-16 | ⏱️ Read time: 13 min read
A multi-tier approach to segmentation, color correction, and domain-specific enhancement
#DataScience #AI #Python
📌 The Great Data Closure: Why Databricks and Snowflake Are Hitting Their Ceiling
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-16 | ⏱️ Read time: 13 min read
Acquisitions, venture, and an increasingly competitive landscape all point to a market ceiling
#DataScience #AI #Python
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-16 | ⏱️ 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
🤖 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
🔗 GitHub: https://github.com/patchy631/machine-learning/tree/main
⭐️ https://t.iss.one/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-learning🔗 GitHub: https://github.com/patchy631/machine-learning/tree/main
⭐️ https://t.iss.one/DataScienceT
📌 Data Poisoning in Machine Learning: Why and How People Manipulate Training Data
🗂 Category: MACHINE LEARNING
🕒 Date: 2026-01-17 | ⏱️ Read time: 14 min read
Do you know where your data has been?
#DataScience #AI #Python
🗂 Category: MACHINE LEARNING
🕒 Date: 2026-01-17 | ⏱️ Read time: 14 min read
Do you know where your data has been?
#DataScience #AI #Python
❤1
📌 A Geometric Method to Spot Hallucinations Without an LLM Judge
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2026-01-17 | ⏱️ Read time: 7 min read
Imagine a flock of birds in flight. There’s no leader. No central command. Each bird…
#DataScience #AI #Python
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2026-01-17 | ⏱️ Read time: 7 min read
Imagine a flock of birds in flight. There’s no leader. No central command. Each bird…
#DataScience #AI #Python
❤1
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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📌 The Hidden Opportunity in AI Workflow Automation with n8n for Low-Tech Companies
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2026-01-18 | ⏱️ Read time: 14 min read
How to use n8n with multimodal AI and optimisation tools to help companies with low…
#DataScience #AI #Python
🗂 Category: ARTIFICIAL INTELLIGENCE
🕒 Date: 2026-01-18 | ⏱️ Read time: 14 min read
How to use n8n with multimodal AI and optimisation tools to help companies with low…
#DataScience #AI #Python
📌 Why Healthcare Leads in Knowledge Graphs
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-18 | ⏱️ Read time: 9 min read
How science, regulation, collaboration, and public funding shaped the world’s most mature semantic infrastructure
#DataScience #AI #Python
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-18 | ⏱️ Read time: 9 min read
How science, regulation, collaboration, and public funding shaped the world’s most mature semantic infrastructure
#DataScience #AI #Python
📌 Bridging the Gap Between Research and Readability with Marco Hening Tallarico
🗂 Category: AUTHOR SPOTLIGHTS
🕒 Date: 2026-01-19 | ⏱️ Read time: 6 min read
Diluting complex research, spotting silent data leaks, and why the best way to learn is…
#DataScience #AI #Python
🗂 Category: AUTHOR SPOTLIGHTS
🕒 Date: 2026-01-19 | ⏱️ Read time: 6 min read
Diluting complex research, spotting silent data leaks, and why the best way to learn is…
#DataScience #AI #Python
📌 Using Local LLMs to Discover High-Performance Algorithms
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2026-01-19 | ⏱️ Read time: 10 min read
How I used open-source models to explore new frontiers in efficient code generation, using my…
#DataScience #AI #Python
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2026-01-19 | ⏱️ Read time: 10 min read
How I used open-source models to explore new frontiers in efficient code generation, using my…
#DataScience #AI #Python
📌 Time Series Isn’t Enough: How Graph Neural Networks Change Demand Forecasting
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-19 | ⏱️ Read time: 11 min read
Why modeling SKUs as a network reveals what traditional forecasts miss
#DataScience #AI #Python
🗂 Category: DATA SCIENCE
🕒 Date: 2026-01-19 | ⏱️ Read time: 11 min read
Why modeling SKUs as a network reveals what traditional forecasts miss
#DataScience #AI #Python
📌 You Probably Don’t Need a Vector Database for Your RAG — Yet
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2026-01-20 | ⏱️ Read time: 14 min read
Numpy or SciKit-Learn might meet all your retrieval needs
#DataScience #AI #Python
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2026-01-20 | ⏱️ Read time: 14 min read
Numpy or SciKit-Learn might meet all your retrieval needs
#DataScience #AI #Python