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Towards Data Science
towardsdatascience.com > one-rag-pipeline-four-very-different-pdfs-same-four-bricks-every-answer-typed-and-cited

One RAG Pipeline, Four Very Different PDFs: Same Four Bricks, Every Answer Typed and Cited

2+ hour, 52+ min ago  (1438+ words) 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 runnable notebook for this article is on GitHub: doc-intel/notebooks-vol1. It runs the…...

Towards Data Science
towardsdatascience.com > analog-ai-is-back-can-it-survive-its-own-noise

Analog AI Is Back, But Can It Survive Its Own Noise?

1+ hour, 22+ min ago  (719+ words) Why chipmakers are betting on physics to fix AI's energy problem, and what happens when you actually simulate that noise yourself The numbers back this up. Gartner expects global data center power demand to climb from 104 gigawatts in 2025 to 132 gigawatts…...

Towards Data Science
towardsdatascience.com > context-engineering-for-rag-question-parsing-from-a-raw-question-to-typed-fields-that-steer-retrieval-and-generation

Context Engineering for RAG Question Parsing: From a Raw Question to Typed Fields That Steer Retrieval and Generation

22+ hour, 22+ min ago  (1529+ words) Enterprise Document Intelligence [Vol.1 #6quater] – Question parsing takes one messy string and writes four typed pieces, each read by a different downstream call When engineers talk about context engineering today, they usually mean retrieving the right context from a document: chunk…...

Towards Data Science
towardsdatascience.com > why-your-betas-explode-the-hidden-geometry-of-multicollinearity

Why Your Betas Explode: The Hidden Geometry of Multicollinearity

1+ day, 1+ hour ago  (1781+ words) Why your regression coefficients keep changing, and what geometry has to do with it. Last quarter, I was presenting a marketing mix model to a senior director. The slide showed two beta coefficients side by side: Linear TV at +2.4, Digital…...

Towards Data Science
towardsdatascience.com > how-i-mastered-data-structures-algorithms-for-ml-in-6-weeks

How I Mastered Data Structures and Algorithms for ML (In 6 Weeks)

1+ day, 23+ hour ago  (1272+ words) The strategies, questions, and process I used to ace coding interviews. Since 2024, I’ve passed over 90% of coding interviews, and it’s not because I am some sort of genius. The majority of coding interviews in the data science and machine learning…...

Towards Data Science
towardsdatascience.com > how-im-making-sure-my-analytics-career-doesnt-get-eaten-by-ai

How I’m Making Sure My Analytics Career Doesn’t Get Eaten by AI

2+ day, 20+ hour ago  (478+ words) The analytics career I signed up for five years ago doesn't exist anymore, and honestly, I am fine with that. When ChatGPT became a household conversation in 2022, I had a feeling that AI is overrated in the short-term and underrated…...

Towards Data Science
towardsdatascience.com > how-much-does-it-actually-cost-to-run-a-local-llm-e-per-million-tokens-measured

How Much Does It Actually Cost to Run a Local LLM? (Euros per Million Tokens, Measured)

2+ day, 23+ hour ago  (1150+ words) I measured the actual GPU electricity for eight local models on one RTX 3090 — and the cheapest wasn't the smallest, nor the priciest the biggest. “It runs on my own GPU, so it’s basically free.” I’ve said that, you’ve probably said…...

Towards Data Science
towardsdatascience.com > i-built-my-second-etl-pipeline-this-time-i-started-thinking-like-a-data-engineer

I Built My Second ETL Pipeline. This Time, I Started Thinking Like a Data Engineer

6+ day, 20+ hour ago  (1742+ words) Building a production-ready RSS pipeline with Python, Docker, PostgreSQL, and Kestra A few months ago, I decided I wanted to transition from data analyst to data engineer. Like many people starting out, I was overwhelmed by the sheer number of…...

Towards Data Science
towardsdatascience.com > rag-was-always-a-temporary-workaround-what-is-next

RAG Was Always a Temporary Workaround. What is Next?

6+ day, 23+ hour ago  (944+ words) Why the future of AI memory relies on persistent neural state, not vector databases. Look closely at your favourite RAG system. Very closely. We labelled this “memory.” A more honest name would be: a very elaborate, high-latency game of telephone…...

Towards Data Science
towardsdatascience.com > behind-the-scenes-of-distributed-training-why-your-gpu-wiring-matters-as-much-as-your-strategy

Behind the Scenes of Distributed Training and Why Your GPU Wiring Matters as Much as Your Strategy

1+ week, 20+ hour ago  (1856+ words) A measured look at distributed training, from DDP and FSDP to the ZeRO stages in between, and why the wiring between your GPUs matters as much as the strategy you choose Training a model on one GPU is straightforward. You…...