How Much of a Data Science Workflow Can Run on a GPU Today? Part 1: Accelerating Data Preparation
Exploring GPU acceleration with cuDF, cudf.pandas, and the Polars GPU 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.
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.
A Beginner’s Guide to Setting Up Claude Code for High Performance Agentic Programming
This article walks through the actual configuration, permissions, hooks, and command habits that separate a fresh install from a setup that holds up under real, sustained agentic work.
Water Cooler Small Talk, Ep. 12: Byzantine Fault Tolerance
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
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.
The post Automatically Assign a Category to...
Thinking Machines Lab has unveiled Inkling, its first general-purpose open-weights foundation model. It is a multimodal MoE model with 975B parameters, 41B active parameters, and a 1M-token context window. Rather than chasing benchmark supremacy, Inkling is designed as a customizable foundation for ...
Top 10 GitHub Repositories Trending in July 2026 (AI, ML & GenAI Edition)
If you’ve spent any time on GitHub Trending this month, you’ve probably noticed a pattern: it isn’t research papers turning into repositories anymore, it’s agents. Coding agents, pentesting agents, trading agents, and the infrastructure that ties them all together. We tracked star growth, momentum, ...
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 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
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 Only When the Page Needs It appeared first on ...
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.
Analog AI Is Back, But Can It Survive Its Own Noise?
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 Back, But Can It Survive Its Own Noise? app...
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 standard, and a report with a broken TOC
The post One RAG Pipeline, Four Very Different PDFs: Same Four Bricks, Every Answer Typed and Cited appeared first on Towards Data Science....
How to connect MCP servers with Claude (Claude desktop and Claude Code)
Connecting MCP servers to Claude allows it to work with external tools, files, databases, repositories, and other systems instead of operating only within the chat window. The setup differs slightly between Claude Desktop and Claude Code, but both can be configured in just a few steps. In this artic...
GPT-5.6 Sol vs Claude Fable 5: Benchmarks, Pricing & Hands-On
GPT-5.6 Sol and Claude Fable 5 are currently fighting for the frontier-model crown. Fable 5 holds a slight edge in general intelligence, while Sol hits back with stronger coding performance, faster execution and much lower pricing. In fact, GPT-5.6 Sol is priced closer to Claude Opus 4.8 than to Fab...
Context Engineering for RAG Question Parsing: From a Raw Question to Typed Fields That Steer Retrieval and Generation
Enterprise Document Intelligence [Vol.1 #6quater] - Question parsing takes one messy string and writes four typed pieces, each read by a different downstream call
The post Context Engineering for RAG Question Parsing: From a Raw Question to Typed Fields That Steer Retrieval and Generation appeared f...
Why Your Betas Explode: The Hidden Geometry of Multicollinearity
Why your regression coefficients keep changing, and what geometry has to do with it.
The post Why Your Betas Explode: The Hidden Geometry of Multicollinearity appeared first on Towards Data Science.
Cross-provider PR review with Codex in GitHub Actions, and why a second opinion from a different lab beats any self-review
The post Don’t Let Claude Grade Its Own Homework appeared first on Towards Data Science.
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 for ML (In 6 Weeks) appeared first on Towards Data Science.
Inside the Claude Fable 5 System Prompt: A Full Breakdown
THE GIST ▸ What it is: A 3,826-line system prompt steering Claude Fable 5 inside the Claude app, pulled from a public GitHub archive. ▸ What’s in it: Rules about safety, tone and restraint. ▸ Why it matters: it shows a frontier “AI” is far more an engineered rulebook than a mysterious mind. Before y...
Prompts shape every interaction with a large language model. Clear instructions produce focused, useful responses, while vague ones often lead to inconsistent results. This becomes harder when teams need the same task completed repeatedly in a fixed format, tone, or structure. Meta-prompting asks th...