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Your home for data science. A Medium publication sharing concepts, ideas and codes. - Medium
Site URL: towardsdatascience.com?source=rss----7f60cf5620c9---4
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Posts: 31
Followers: 2
Tabular LLMs: An Introduction to the Foundation Models That Predict Your Spreadsheet
Published: July 24, 2026 16:30
Tabular foundation models predict the missing column of any spreadsheet zero-shot, the way an LLM completes text — and on the TabArena benchmark they now sit above fully tuned gradient-boosted trees. An introduction to how they work, an independent…
Build and Run an Intelligent Document Processing (IDP) System in the Cloud
Published: July 24, 2026 15:00
Automating the classification and extraction of PII from emails using AWS The post Build and Run an Intelligent Document Processing (IDP) System in the Cloud appeared first on Towards Data Science.
Loop Engineering for RAG Generation: An LLM Cascade from a Cheap Local Model Up to a Hosted Flagship
Published: July 24, 2026 13:30
Enterprise Document Intelligence [Vol.1 #8quater] - Two angles on the cascade, cost and a validation loop, backed by a real sweep of twenty local models against a hosted flagship The post Loop Engineering for RAG Generation: An LLM Cascade from a Cheap…
Context Windows Forget What Matters — I Built a Usage-Reinforced Decay Engine for AI Agent Memory
Published: July 24, 2026 12:00
Most AI memory systems keep the newest information—not the most important. Here's how I used the Ebbinghaus forgetting curve to build a better memory engine for LLMs. The post Context Windows Forget What Matters — I Built a Usage-Reinforced Decay Engine…
When Data Science Makes Us Sad: The Story of an Overbooked Flight
https://towardsdatascience.com/when-data-science-makes-us-sad-the-story-of-an-overbooked-flight/
Published: July 23, 2026 16:30
$8 million vs $5k + Potentially Going Viral The post When Data Science Makes Us Sad: The Story of an Overbooked Flight appeared first on Towards Data Science.
Most RAG Hallucinations Are Extraction Errors: Seven Patterns for a Typed Generation Contract
Published: July 23, 2026 15:00
Enterprise Document Intelligence [Vol.1 #8ter] - Naming the RAG error correctly matters: model reads the context, so a wrong answer is an extraction error, not a hallucination. Seven typed-contract patterns keep the generation brick honest, with a…
Lessons Learned After 8.5 Years of ML
https://towardsdatascience.com/lessons-learned-after-8-5-years-of-ml/
Published: July 23, 2026 13:30
Patience, Optimism, Discipline, Projects, Teams The post Lessons Learned After 8.5 Years of ML appeared first on Towards Data Science.
Why Adding More AI Agents Made Our System Slower
https://towardsdatascience.com/why-adding-more-ai-agents-made-our-system-slower/
Published: July 23, 2026 12:00
The hidden cost of asynchronous systems, how tiny CPU tasks quietly became our biggest bottleneck while scaling hundreds of LLM agents. The post Why Adding More AI Agents Made Our System Slower appeared first on Towards Data Science.
Loop Engineering for RAG Generation: iterate top-k one at a time
Published: July 22, 2026 16:30
Enterprise Document Intelligence [Vol.1 #8bis] - Two regimes for sending retrieved candidates to the generation brick, the sufficiency signal that picks between them, and the per-question type dispatch that makes it cheap The post Loop Engineering for RAG…
How To Build Your Own LLM Runtime From Scratch
https://towardsdatascience.com/how-to-build-your-own-llm-runtime-from-scratch/
Published: July 22, 2026 15:00
If you have ever wanted to actually build an LLM inference runtime yourself — pack your own weights, own every barrier, capture your own CUDA graphs — this is what that journey looks like on an H100. A step-by-step tour of a small runtime called…
Build an LLM Agent That Can Write and Run Code
https://towardsdatascience.com/build-an-llm-agent-that-can-write-and-run-code/
Published: July 22, 2026 13:30
A hands-on walkthrough of code execution with the OpenAI Agents SDK and Docker The post Build an LLM Agent That Can Write and Run Code appeared first on Towards Data Science.
Detecting Vulnerabilities in Agent Skills with SkillSpector: From Green Checkmark to Real Security Judgment
Published: July 22, 2026 12:00
Static analysis nailed the malicious skill and over-flagged the useful one. The gap between those results is where human judgement actually earns its keep. The post Detecting Vulnerabilities in Agent Skills with SkillSpector: From Green Checkmark to Real…
Prompt Engineering Isn’t Enough: How Four Bricks of Context Engineering Stop RAG Hallucinations
Published: July 21, 2026 16:30
Enterprise Document Intelligence [Vol.1 #9bis] - Your RAG isn’t hallucinating, it’s answering the wrong context faithfully. On real NIST and World Bank documents, watch each of the four bricks break, and the contract that closes it The post Prompt…
I Tried Fine-Tuning a Robot AI Model on Colab. Here Is What Worked
https://towardsdatascience.com/i-tried-fine-tuning-a-robot-ai-model-on-colab-here-is-what-worked/
Published: July 21, 2026 15:00
A reproducible 100-step LoRA fine-tuning run for OpenVLA, with dataset checks, Colab setup, training metrics, and W&B evidence. The post I Tried Fine-Tuning a Robot AI Model on Colab. Here Is What Worked appeared first on Towards Data Science.
How Much of a Data Science Workflow Can Run on a GPU Today? Part 1: Accelerating Data Preparation
Published: July 21, 2026 13:30
Exploring GPU acceleration with cuDF, cudf.pandas, and the Polars GPUÂ Engine The post How Much of a Data Science Workflow Can Run on a GPU Today? Part 1: Accelerating Data Preparation appeared first on Towards Data Science.
Are Your ML Experiments a Mess? Here’s the Fix
https://towardsdatascience.com/your-ml-experiments-are-a-mess-heres-the-fix/
Published: July 21, 2026 12:00
A hands-on guide to tracking experiments, logging models, and reproducing results with ML Flow. The post Are Your ML Experiments a Mess? Here’s the Fix appeared first on Towards Data Science.
How to Run Claude Code Agents for 24+ Hours
https://towardsdatascience.com/how-to-run-claude-code-agents-for-24-hours/
Published: July 20, 2026 16:30
Apply long-running coding agents to become a more productive engineer The post How to Run Claude Code Agents for 24+ Hours appeared first on Towards Data Science.
Loop Engineering with Adaptive Parsing in Action: Parsing Flat Tables with Azure and Figures with a Vision LLM
Published: July 20, 2026 15:00
Enterprise Document Intelligence [Vol.1 #10B] - The LLM as last line of defence, then two real escalations walked end to end: a flat table to Azure, a figure to a vision model The post Loop Engineering with Adaptive Parsing in Action: Parsing Flat Tables…
Water Cooler Small Talk, Ep. 12: Byzantine Fault Tolerance
https://towardsdatascience.com/water-cooler-small-talk-ep-12-byzantine-fault-tolerance/
Published: July 20, 2026 13:30
How do you make decisions when you can't trust anyone in the room? The post Water Cooler Small Talk, Ep. 12: Byzantine Fault Tolerance appeared first on Towards Data Science.
Automatically Assign a Category to Uncategorized Rows in Power Query and DAX
Published: July 20, 2026 12:00
Having categorized data is everything in reporting. Uncategorized data cannot be grouped and aggregated. But sometimes we must assign a category to uncategorized data according to certain rules. Let’s see how I solved this in a facility management project.…
Backpropagation Explained for Beginners (Part 1): Building the Intuition
Published: July 19, 2026 17:00
Let's discover how neural networks learn, step by step The post Backpropagation Explained for Beginners (Part 1): Building the Intuition appeared first on Towards Data Science.
Loop Engineering for RAG Question Parsing: The Small Loop That Runs Before Retrieval
Published: July 19, 2026 15:00
Enterprise Document Intelligence [Vol.1 #6quinquies] - Prompt engineering, then context engineering, then loop engineering. On the question side, the loop is small by design: read the doc, ask what is missing, re-parse. The post Loop Engineering for RAG…
Your AI Agent Passed Every Eval. Finance Still Killed It.
https://towardsdatascience.com/your-ai-agent-passed-every-eval-finance-still-killed-it/
Published: July 19, 2026 13:00
An AI agent passed every metric in the eval harness I published, then the CFO killed it — its successful resolutions cost more than the humans it replaced. The one metric that predicts whether an agent survives production, and how to measure it without a…
Many Companies Use AI. Few Know How to Build an AI-Native Enterprise Data Platform.
Published: July 18, 2026 17:00
A practical enterprise AI architecture with data agents, AI-powered QA, and AI governance. The post Many Companies Use AI. Few Know How to Build an AI-Native Enterprise Data Platform. appeared first on Towards Data Science.
Loop Engineering with Adaptive PDF Parsing: Start Cheap, Pay for a Heavier Parser Only When the Page Needs It
Published: July 18, 2026 15:00
Enterprise Document Intelligence [Vol.1 #10A] - The escalation cascade and the free, deterministic checks that flag a failed parse before you pay for a deeper one The post Loop Engineering with Adaptive PDF Parsing: Start Cheap, Pay for a Heavier Parser…
How to Improve Customer Retention in FinTech
https://towardsdatascience.com/how-to-improve-customer-retention-in-digital-banking/
Published: July 18, 2026 13:00
A practical guide to combining pre-churn scoring with uplift modelling for smarter retention. The post How to Improve Customer Retention in FinTech appeared first on Towards Data Science.
How to Work Effectively with GPT-5.6
https://towardsdatascience.com/how-to-work-effectively-with-gpt-5-6/
Published: July 17, 2026 16:30
Maximize the latest OpenAI model The post How to Work Effectively with GPT-5.6 appeared first on Towards Data Science.
Using Classical ML to Empower AIÂ Agents
https://towardsdatascience.com/using-classical-ml-to-empower-ai-agents/
Published: July 17, 2026 15:00
On the value of building on existing foundations The post Using Classical ML to Empower AIÂ Agents appeared first on Towards Data Science.
Context Engineering Isn’t Enough — A Loop Engineering Experiment With No LLM Inside the Loop
Published: July 17, 2026 13:30
Everyone is talking about loop engineering, but most discussions assume an LLM sits at the center of the loop. I wanted to isolate the architecture itself. So I built a deterministic, zero-dependency Python benchmark that replaces the model with simple…
Analog AI Is Back, But Can It Survive Its Own Noise?
https://towardsdatascience.com/analog-ai-is-back-can-it-survive-its-own-noise/
Published: July 17, 2026 12:00
AI's energy crisis is reviving an old idea: computing with physics instead of digital logic. Here's how analog chips actually work, why noise nearly killed the idea once already, and what happens when you simulate that noise yourself. The post Analog AI Is…
One RAG Pipeline, Four Very Different PDFs: Same Four Bricks, Every Answer Typed and Cited
Published: July 17, 2026 10:30
Enterprise Document Intelligence [Vol.1 #9B] - One call wires the four upgraded bricks together, run on a paper, a NIST standard, and a report with a broken TOC The post One RAG Pipeline, Four Very Different PDFs: Same Four Bricks, Every Answer Typed and…