Routing in a Sparse Graph: a Distributed Q-Learning Approach
Distributed agents need only decide one move ahead.
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Sara Nobrega on the transition from data science to AI engineering, using LLMs as a bridge to DevOps, and the one engineering skill junior data scientists need to stay competitive.
The post Building Systems That Survive Real Life appeared first on Towards Data Science.
TDS Newsletter: January Must-Reads on Data Platforms, Infinite Context, and More
Don't miss our most-read and -shared stories of the past month
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Federated Learning, Part 2: Implementation with the Flower Framework 🌼
Implementing cross-silo federated learning step by step
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I Ditched My Mouse: How I Control My Computer With Hand Gestures (In 60 Lines of Python)
A step-by-step guide to building a “Minority Report”-style interface using OpenCV and MediaPipe
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Modeling Urban Walking Risk Using Spatial-Temporal Machine Learning
Estimating neighborhood-level pedestrian risk from real-world incident data
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Going Beyond the Context Window: Recursive Language Models in Action
Explore a practical approach to analysing massive datasets with LLMs
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Layered Architecture for Building Readable, Robust, and Extensible Apps
If adding a feature feels like open-heart surgery on your codebase, the problem isn’t bugs, it’s structure. This article shows how better architecture reduces risk, speeds up change, and keeps teams moving.
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Exploring the RAG pipeline in Cursor that powers code indexing and retrieval for coding agents
The post How Cursor Actually Indexes Your Codebase appeared first on Towards Data Science.
Optimizing Data Transfer in Distributed AI/ML Training Workloads
A deep dive on data transfer bottlenecks, their identification, and their resolution with the help of NVIDIA Nsight™ Systems – part 3
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Achieving 5x Agentic Coding Performance with Few-Shot Prompting
Learn to leverage few-shot prompting to increase your LLMs performance
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TDS Newsletter: Beyond Prompt Engineering: The New Frontiers of LLM Optimization
Let's zoom in on recent approaches that push AI-powered workflows to the next level
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Building a Self-Healing Data Pipeline That Fixes Its Own Python Errors
How I built a self-healing pipeline that automatically fixes bad CSVs, schema changes, and weird delimiters.
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Using Local LLMs to Discover High-Performance Algorithms
How I used open-source models to explore new frontiers in efficient code generation, using my MacBook and local LLMs.
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Time Series Isn’t Enough: How Graph Neural Networks Change Demand Forecasting
Why modeling SKUs as a network reveals what traditional forecasts miss
The post Time Series Isn’t Enough: How Graph Neural Networks Change Demand Forecasting appeared first on Towards Data Science.
The Hidden Opportunity in AI Workflow Automation with n8n for Low-Tech Companies
How to use n8n with multimodal AI and optimisation tools to help companies with low data maturity accelerate their digital transformation.
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A Geometric Method to Spot Hallucinations Without an LLM Judge
Imagine a flock of birds in flight. There’s no leader. No central command. Each bird aligns with its neighbors—matching direction, adjusting speed, maintaining coherence through purely local coordination. The result is global order emerging from local consistency. Now imagine one bird flying with th...
Cutting LLM Memory by 84%: A Deep Dive into Fused Kernels
Why your final LLM layer is OOMing and how to fix it with a custom Triton kernel.
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The 2026 Goal Tracker: How I Built a Data-Driven Vision Board Using Python, Streamlit, and Neon
Designing a centralized system to track daily habits and long-term goals
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Topic Modeling Techniques for 2026: Seeded Modeling, LLM Integration, and Data Summaries
Seeded topic modeling, integration with LLMs, and training on summarized data are the fresh parts of the NLP toolkit.
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From ‘Dataslows’ to Dataflows: The Gen2 Performance Revolution in Microsoft Fabric
Dataflows were (rightly?) considered "the slowest and least performant option" for ingesting data into Power BI/Microsoft Fabric. However, things are changing rapidly and the latest Dataflow enhancements changes how we play the game
The post From ‘Dataslows’ to Dataflows: The Gen2 Performance Revolu...
Under the Uzès Sun: When Historical Data Reveals the Climate Change
Longer summers, milder winters: analysis of temperature trends in Uzès, France, year after year.
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