📌 GraphRAG in Practice: How to Build Cost-Efficient, High-Recall Retrieval Systems

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-12-09 | ⏱️ Read time: 15 min read

Smarter retrieval strategies that outperform dense graphs — with hybrid pipelines and lower cost

#DataScience #AI #Python

📌 A Realistic Roadmap to Start an AI Career in 2026

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-12-09 | ⏱️ Read time: 12 min read

How to learn AI in 2026 through real, usable projects

#DataScience #AI #Python

📌 Bridging the Silence: How LEO Satellites and Edge AI Will Democratize Connectivity

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-12-08 | ⏱️ Read time: 8 min read

Why on-device intelligence and low-orbit constellations are the only viable path to universal accessibility

#DataScience #AI #Python

📌 The Machine Learning “Advent Calendar” Day 10: DBSCAN in Excel

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-12-10 | ⏱️ Read time: 5 min read

DBSCAN shows how far we can go with a very simple idea: count how many…

#DataScience #AI #Python

📌 How to Maximize Agentic Memory for Continual Learning

🗂 Category: LLM APPLICATIONS

🕒 Date: 2025-12-10 | ⏱️ Read time: 7 min read

Learn how to become an effective engineer with continual learning LLMs

#DataScience #AI #Python

📌 Don’t Build an ML Portfolio Without These Projects

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-12-10 | ⏱️ Read time: 8 min read

What recruiters are looking for in machine learning portfolios

#DataScience #AI #Python

📌 Optimizing PyTorch Model Inference on AWS Graviton

🗂 Category: DEEP LEARNING

🕒 Date: 2025-12-10 | ⏱️ Read time: 11 min read

Tips for accelerating AI/ML on CPU — Part 2

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📌 The Machine Learning “Advent Calendar” Day 9: LOF in Excel

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-12-09 | ⏱️ Read time: 7 min read

In this article, we explore LOF through three simple steps: distances and neighbors, reachability distances,…

#DataScience #AI #Python

📌 The Machine Learning “Advent Calendar” Day 11: Linear Regression in Excel

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-12-11 | ⏱️ Read time: 12 min read

Linear Regression looks simple, but it introduces the core ideas of modern machine learning: loss…

#DataScience #AI #Python

🤖🧠 How to Run and Fine-Tune Kimi K2 Thinking Locally with Unsloth

🗓️ 11 Dec 2025
📚 AI News & Trends

The demand for efficient and powerful large language models (LLMs) continues to rise as developers and researchers seek new ways to optimize reasoning, coding, and conversational AI performance. One of the most impressive open-source AI systems available today is Kimi K2 Thinking, created by Moonshot AI. Through collaboration with Unsloth, users can now fine-tune and ...

#KimiK2Thinking #Unsloth #LLMs #LargeLanguageModels #AI #FineTuning