Why I Don’t Trust LLMs to Decide When the Weather Changed
A physicist's approach to building production-grade agents
The post Why I Don’t Trust LLMs to Decide When the Weather Changed appeared first on Towards Data Science.
Deconstruct Any Metric with a Few Simple ‘What’ Questions
What you see is rarely what you get with flashy dashboards and data storytelling
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Improve Claude Code performance by having it validate its own work
The post How to Make Claude Code Validate its own Work appeared first on Towards Data Science.
Top 10 Open-Source Libraries to Fine-Tune LLMs Locally
Fine-tuning LLMs has become much easier because of open-source tools. You no longer need to build the full training stack from scratch. Whether you want low-VRAM training, LoRA, QLoRA, RLHF, DPO, multi-GPU scaling, or a simple UI, there is likely a library that fits your workflow. Here are the best ...
Single Agent vs Multi-Agent: When to Build a Multi-Agent System
A practical guide to understanding AI agent design, ReAct workflows, and when to scale from a single agent to a multi-agent system.
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How to Build an Efficient Knowledge Base for AI Models
Building a knowledge base for AI models isn’t a one-time task but an iterative process of refinement.
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CSPNet Paper Walkthrough: Just Better, No Tradeoffs
A review of the Cross-Stage Partial Network paper — and a from-scratch PyTorch implementation
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Inference Scaling (Test-Time Compute): Why Reasoning Models Raise Your Compute Bill
Why reasoning models dramatically increase token usage, latency, and infrastructure costs in production systems
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Churn Without Fragmentation: How a Party-Label Bug Reversed My Headline Finding
A data quality case study from English local elections on categorical normalisation, metric validation, and why raw labels should never define analytical groups.
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Or why what appears powerful can be methodologically fragile
The post Why Powerful Machine Learning Is Deceptively Easy appeared first on Towards Data Science.
How to make decisions when your spreadsheet is lying about the future
The post A Gentle Introduction to Stochastic Programming appeared first on Towards Data Science.
How to Study the Monotonicity and Stability of Variables in a Scoring Model using Python
How can you validate that your variables tell a consistent risk?
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Why AI Engineers Are Moving Beyond LangChain to Native Agent Architectures
Frameworks accelerated the first wave of LLM apps, but production demands a different architecture.
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Ensembles of Ensembles of Ensembles: A Guide to Stacking
The best machine learning model is not one model
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There’s a lot of noise right now making it seem like you have to pick a side between MCP and Agent Skills. It’s being framed like a high-stakes rivalry, but that’s a total misunderstanding of the tech. Skills and MCP is fundamentally different things. Skills are just a prompt loaded on demand, while...