Many Companies Use AI. Few Know How to Build an AI-Native Enterprise Data Platform.
A practical enterprise AI architecture with data agents, AI-powered QA, and AI governance. The post Many Companies Use AI. Few…
Category: General
Loop Engineering with Adaptive PDF Parsing: Start Cheap, Pay for a Heavier Parser Only When the Page Needs It
Enterprise Document Intelligence [Vol.1 #10A] – The escalation cascade and the free, deterministic checks that flag a failed parse before…
How to Improve Customer Retention in FinTech
A practical guide to combining pre-churn scoring with uplift modelling for smarter retention. The post How to Improve Customer Retention…
Following the questions where they lead
Ever since she was a child playing on her family’s farmland in Wisconsin, Bailey Flanigan was guided by her own…
How to Work Effectively with GPT-5.6
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 AI Agents
On the value of building on existing foundations The post Using Classical ML to Empower AI Agents appeared first on Towards…
Context Engineering Isn’t Enough — A Loop Engineering Experiment With No LLM Inside the Loop
Everyone is talking about loop engineering, but most discussions assume an LLM sits at the center of the loop. I…
One RAG Pipeline, Four Very Different PDFs: Same Four Bricks, Every Answer Typed and Cited
Enterprise Document Intelligence [Vol.1 #9B] – One call wires the four upgraded bricks together, run on a paper, a NIST…
Prepare These 5 Assets Before Your AI Agents Take On More Work
How to define recurring work, give AI the right context, explain what high-quality work looks like, and decide where human…
How to Get the Most Out of Claude Fable 5
Maximize your Claude Fable 5 usage The post How to Get the Most Out of Claude Fable 5 appeared first…
Our approach to bioresilience
Google DeepMind and Isomorphic Labs are sharing our joint approach to bioresilience and AI models.
A better way to turn 2D designs into 3D models for rapid prototyping
Engineers often use vision-language models to produce new designs, such as for airplane or automobile components. To simulate how those…
3 Questions: Neural transparency and the future of AI design
Millions of people are now designing their own personalized artificial intelligence companions, yet most have little idea how those creations…
Don’t Let Claude Grade Its Own Homework
Cross-provider PR review with Codex in GitHub Actions, and why a second opinion from a different lab beats any self-review…
Building Trustworthy Production RAG Systems Through Continuous Evaluation
A practical guide to building an evaluation workflow that catches retrieval failures, hallucinations, and performance drift before they reach users…
How I Mastered Data Structures and Algorithms for ML (In 6 Weeks)
The strategies, questions, and process I used to ace coding interviews. The post How I Mastered Data Structures and Algorithms…
Most RAG Hallucinations Are Retrieval Failures: How the Retrieval Brick Decides What the Model Can Invent
Enterprise Document Intelligence [Vol.1 #7quinquies] – Hallucination is usually garbage-in. Fix retrieval, and the model has nothing left to make…
Helping AI models to meet the real world
Systems using artificial intelligence to enhance forecasting, planning, and decision-making in businesses have been proliferating in recent years, but in…
How I’m Making Sure My Analytics Career Doesn’t Get Eaten by AI
The analytics career I signed up for five years ago doesn’t exist anymore, and honestly, I am fine with that.…
Can AI build a jet engine? JARVIS Challenge tests role of AI copilots in tough-tech engineering
Artificial intelligence has rapidly transformed software engineering. Generative AI and large language models (LLMs) can create huge volumes of code…
A Gentle Introduction to Autoencoders & Latent Space
Introduction Heavy computation is a well-known problem in various ML algorithms today, especially when generative AI is applied to text,…
Pydantic + OpenAI: The Cleanest Way to Get Structured Outputs from LLMs
How to stop parsing JSON by hand and start trusting your model’s output The post Pydantic + OpenAI: The Cleanest…
Empowering India’s next generation of innovators with ATL Saathi
Google and AIM launched ATL Saathi, a Gemini-powered AI tool empowering Indian educators in robotics labs.
How MIT students are helping to prevent cyberattacks
In May 2019, the government of Baltimore, Maryland, fell into chaos. Cybercriminals had locked the city out of many of…
Agentic RAG: Let the Agent Search
A minimal OpenAI Agents SDK implementation where retrieval becomes a search-read-decide loop The post Agentic RAG: Let the Agent Search…
Context Rot: Why Claude Code Sessions Decay, and How to Govern Them
Long sessions rot quietly, well before any token limit is reached. Here’s why, and how to govern your context in…
Building Models in Two Worlds: From Latent Constructs to Behavioral Signals
My PhD models tried to explain why people engage. My industry models predict who will. The statistics barely changed. Everything…
The Three Dimensions of Custom Agentic Alignment: Purpose, Principles and Practices
A framework for aligning agentic AI with enterprise intent to ensure consistent scenario‑wide autonomous behavior. The post The Three Dimensions…
New method aims to keep kids safe from illegal AI-generated content
With the exploding popularity of generative artificial intelligence, many open-source models are now available online for anyone to adapt for…
RAG vs Fine-Tuning Explained: What They Actually Do and When to Use Each
Two techniques, two different problems, and why the question is not really “which one wins” The post RAG vs Fine-Tuning…
How to Orchestrate 100+ Agents With Claude Code
Run 100+ agents in parallel The post How to Orchestrate 100+ Agents With Claude Code appeared first on Towards Data…
Long Context Isn’t Free — I Built a Safe Prompt-Pruning Layer That Makes LLM Systems Work
LLMs don’t fail because they forget—they fail because they remember too much. As conversations grow, prompts accumulate redundant and low-value…
That Is Embarrassing: Why Frontier AI Still Makes Things Up, and What to Do About It
The best AI models still hallucinate. These hallucinations are sometimes funny, and sometimes cause actual damage. In this post we…
I Built My Second ETL Pipeline. This Time, I Started Thinking Like a Data Engineer
Building a production-ready RSS pipeline with Python, Docker, PostgreSQL, and Kestra The post I Built My Second ETL Pipeline. This…
PySpark for Beginners: Building Intermediate-Level Skills
A practical next step into partitions, shuffles, joins, caching, and execution plans. The post PySpark for Beginners: Building Intermediate-Level Skills…
RAG Was Always a Temporary Workaround. What is Next?
Vector databases are a temporary bridge. Discover why the next AI infrastructure revolution relies on persistent neural state and strict…
Behind the Scenes of Distributed Training and Why Your GPU Wiring Matters as Much as Your Strategy
A measured look at distributed training, from DDP and FSDP to the ZeRO stages in between, and why the wiring…
Tiny robot boats build floating structures
Most people think of the waterfront as the edge of the city. A team of MIT researchers sees it as…
How to Find the Optimal Coding Agent Interface
Find the optimal way to interact with your coding agents The post How to Find the Optimal Coding Agent Interface…
Loop Engineering for Hierarchical Retrieval: Reading a Long Document by Its Table of Contents
Enterprise Document Intelligence [Vol.1 #7quater] – A 492-page document has a 358-entry table of contents. You can’t read it all,…
The Real Challenge Limiting AI Models Today
Hint: it is not GPU speed! The post The Real Challenge Limiting AI Models Today appeared first on Towards Data…
Redesign Work Before You Add More AI Agents
Map AI value, design workflows, redefine talent, upgrade the executive team, and measure the business impact. The post Redesign Work Before…
Inside the Subspace Where Spurious Correlations Are Born
Why small samples can produce large correlations by chance, and why large does not always mean meaningful The post Inside…
The Threshold Is a Price, Not a Percentage
How to decide when an AI agent should act on its own by using cost asymmetry instead of a fixed…
Information Theory and Ensemble Models
How should we ensemble time-series forecasts better? The post Information Theory and Ensemble Models appeared first on Towards Data Science.
How novice coders can develop AI programs for military applications
In today’s world, artificial intelligence chatbots such as ChatGPT and Claude can perform many functions, such as composing work emails…
A Production RAG Pipeline for PDFs: Relational Parsing, TOC Retrieval, Typed Answers
Enterprise Document Intelligence [Vol.1 #9A] – Same paper, same question as Article 1. One upgraded contract per brick: document parsing,…
Jesse Thaler named director of the Laboratory for Nuclear Science
Professor Jesse Thaler has been named director of the MIT Laboratory for Nuclear Science (LNS), effective Aug. 1. He succeeds…
Identifying Microbes in Space
What’s living on the International Space Station? The post Identifying Microbes in Space appeared first on Towards Data Science.
Survival Analysis for Data Drift and ML Reliability
Treating model degradation as a time-to-failure problem The post Survival Analysis for Data Drift and ML Reliability appeared first on…