Towards Data Science
Build and Run an Intelligent Document Processing (IDP) System in the Cloud
The system was designed to allow Freedom of Information-type requests from Irish citizens wanting to know whether…
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Loop Engineering for RAG Generation: An LLM Cascade from a Cheap Local Model Up to a Hosted Flagship
You have a few hundred typed fields to pull out of a stack of real documents: amounts, dates, coverage limits, one…
Towards Data Science
Context Windows Forget What Matters — I Built a Usage-Reinforced Decay Engine for AI Agent Memory
Emmimal P Alexander Jul 24, 2026 23 min read Share Image by the author, generated with ChatGPT (DALL·E) TL;DR: Most…
Towards Data Science
Most RAG Hallucinations Are Extraction Errors: Seven Patterns for a Typed Generation Contract
Large Language Model Most RAG Hallucinations Are Extraction Errors: Seven Patterns for a Typed Generation Contract…
Towards Data Science
Prompt Engineering Isn’t Enough: How Four Bricks of Context Engineering Stop RAG Hallucinations
Large Language Models Prompt Engineering Isn’t Enough: How Four Bricks of Context Engineering Stop RAG Hallucinations…
Towards Data Science
Loop Engineering with Adaptive Parsing in Action: Parsing Flat Tables with Azure and Figures with a Vision LLM
The article describes an adaptive parsing strategy for enterprise document intelligence that starts with a cheap…
Towards Data Science
Water Cooler Small Talk, Ep. 12: Byzantine Fault Tolerance
The concept of Byzantine Fault Tolerance allows a system to operate properly even when malicious actors are present.…
Towards Data Science
Automatically Assign a Category to Uncategorized Rows in Power Query and DAX
Data Engineering Automatically Assign a Category to Uncategorized Rows in Power Query and DAX Sometimes we must assign…
Towards Data Science
How to Get the Most Out of Claude Fable 5
LLM Applications How to Get the Most Out of Claude Fable 5 Maximize your Claude Fable 5 usage Eivind Kjosbakken Jul…
Towards Data Science
Stop Returning Text from RAG: The Typed Answer Contract That Prevents Hallucination
The article discusses the concept of a typed answer contract in large language models to prevent hallucination. This…
Towards Data Science
Setting Up Your Own Large Language Model
The article discusses setting up a large language model on a personal laptop, highlighting the benefits of having a…
Towards Data Science
Long Context vs. Short Context Model: When Does a Long Context Model Win?
The article discusses the trade-off between using long context models and short context models in artificial…
Towards Data Science
AI Agents Explained: What Is a ReAct Loop and How Does It Work?
The article discusses the concept of a ReAct loop in AI agents, which allows them to reason, act, and observe their…
Towards Data Science
LLM Wikis Are Over-Engineered — I Replaced Mine With a Pure Python Compiler
The author replaced their Large Language Model wiki with a pure Python compiler to structure local markdown notes.…
Towards Data Science
4 Lines You Should Include in Your Claude Skill
Agentic AI 4 Lines You Should Include in Your Claude Skill Without these, Claude might end up being confidently wrong.…
Towards Data Science
How to Refactor Code with Claude Code
LLM Applications How to Refactor Code with Claude Code Improve coding agent productiveness with refactored code Eivind…
Towards Data Science
I Spent May Evaluating Different Engines for OCR
The article discusses an evaluation of various OCR engines conducted by the author, testing fourteen different engines…
Towards Data Science
Why AI Is NOT Stealing Your Job
The article discusses the impact of artificial intelligence (AI) on the job market, emphasizing that AI itself is not…
Towards Data Science
I Built a C++ Backend So My GPU Would Stop Eating Air
The article discusses the development of the WarpGroup-Backend, a C++ engine designed to optimize GPU performance by…
Towards Data Science
What AI Agents Should Never Do on Their Own
The article discusses the importance of setting boundaries for AI agents to prevent costly mistakes. It emphasizes…
Towards Data Science
Meta-Cognitive Regulation Might Be the Most Important AI Skill Nobody Is Talking About
The article discusses the importance of metacognitive regulation in the context of artificial intelligence. As AI…
Towards Data Science
Embeddings Aren’t Magic: The Predictable Failure Modes of RAG Retrieval
The article discusses the limitations of Retrieval-Augmented Generation (RAG) systems in handling specific queries.…
Towards Data Science
Qdrant TurboQuant Explained: Is TurboQuant the Silver Bullet?
Qdrant has introduced TurboQuant, a new quantization method aimed at reducing memory usage while maintaining retrieval…
Towards Data Science
Baseline Enterprise RAG, From PDF to Highlighted Answer
The article discusses the development of a minimal version of a Retrieval-Augmented Generation (RAG) system that…
Towards Data Science
RAG Is Burning Money — I Built a Cost Control Layer to Fix It
The article discusses the inefficiencies of Retrieval-Augmented Generation (RAG) systems in terms of cost. It…
Towards Data Science
Why Gradient Descent Became Stochastic
The article explores the evolution of gradient descent into stochastic gradient descent within the context of machine…
Towards Data Science
Explaining Lineage in DAX
The article discusses the concept of lineage in DAX, which is crucial for understanding data origins and manipulation.…
Towards Data Science
Five Questions About Chronos-2, the Time Series Foundation Model
Chronos-2 is a time series foundation model designed to streamline forecasting and analytics workflows. It allows…
Towards Data Science
How to Effectively Run Many Claude Code Sessions in Parallel
The article discusses techniques for effectively running multiple coding agents in parallel. It highlights the…
Towards Data Science
Learning From Pairwise Preferences: An Introduction to the Bradley Terry Model
The Bradley-Terry model provides a framework for deriving probabilistic rankings from pairwise comparisons rather than…
Towards Data Science
Most AI Agents Fail in Production Because They’re Built Backwards
Many AI agents fail in production due to architectural issues rather than capability problems. Teams often build…
Towards Data Science
They Requested It. I Built It. Nobody Ever Used It.
The article discusses the challenges faced by data professionals when delivering predictive models that go unused. It…
Towards Data Science
What Is a Data Agent?
A data agent is an AI-powered tool that allows users to interact with data through conversational queries rather than…
Towards Data Science
The AI Model Confidence Trap
The article discusses the issue of AI model confidence, highlighting how AI systems can present incorrect information…
Towards Data Science
Stop Using LLMs Like Giant Problem Solvers
The article discusses the challenges of using large language models (LLMs) for processing messy data, specifically in…
Towards Data Science
The Domain Shift: Moving Data Governance from Product Triage to Infrastructure Investment
The article discusses the need to shift data governance from a product-focused approach to a domain-centric model.…
Towards Data Science
I Built My First ETL Pipeline as a Complete Beginner. Here’s How.
The article details a beginner's experience building their first ETL pipeline using the GitHub API. It outlines the…
Towards Data Science
Can AI Write Your Code?
A recent study evaluates ChatGPT's ability to generate code for complex causal inference tasks in Python, R, and…
Towards Data Science
From TF-IDF to Transformers: Implementing Four Generations of Semantic Search
The article discusses the evolution of semantic search from traditional methods to modern transformer-based systems.…
Towards Data Science
Introducing the Agent Toolkit for Amazon Web Services
Amazon Web Services has introduced the Agent Toolkit, an open-source project designed to enhance the reliability of AI…
Towards Data Science
The Ultimate Beginners’ Guide to Building an AI Agent in Python
This article provides a beginner-friendly guide to building an AI agent using Python. It explains the concept of AI…
Towards Data Science
Beyond the Model: Why Data Scientists Must Embrace APIs and API Documentation
The article discusses the importance of APIs and API documentation for data scientists. It emphasizes that…
Towards Data Science
How to Mathematically Choose the Optimal Bins for Your Histogram
The article discusses the mathematical considerations for choosing optimal bins in histograms, emphasizing the…
Towards Data Science
Beyond the Scroll: How Social Media Algorithms Shape Your Reality
Social media algorithms curate content based on user engagement to keep individuals on platforms longer. These…
Towards Data Science
From Prototype to Profit: Solving the Agentic Token-Burn Problem
The article discusses the transition from AI prototyping to the development of profitable agentic applications. It…
Towards Data Science
Hybrid AI: Combining Deterministic Analytics with LLM Reasoning
The article discusses the challenges faced in developing an agentic AI system for manufacturing operations. It…
Towards Data Science
Enterprise Document Intelligence: A Series on Building RAG Brick by Brick, from Minimal to Corpus scale
The article discusses the challenges and misconceptions surrounding Retrieval-Augmented Generation (RAG) in enterprise…
Towards Data Science
The Hidden Bottleneck in Quantum Machine Learning: Getting Data into a Quantum Computer
The article discusses the challenges of loading classical data into quantum computers for machine learning. It…
Towards Data Science
Lost in Translation: How AI Exposes the Rift Between Law and Logic
The article discusses the growing disconnect between legal and IT teams as AI technology advances. It highlights the…
Towards Data Science
LLM Themes Are Not Observations
The article discusses the pitfalls of using themes extracted from customer interactions in causal analysis. It…
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