AI ready or not, this report will help bit.ly/46Ivgvi

We finish off our short series on SLM optimization with the third entry, focused on batching by length instead of looping item by item. f.mtr.cool/0sft3lqpjm

Leveling up rarely means new syntax. It means learning what the language already promised you. f.mtr.cool/qaqcq6mfh2

A visual guide to MCP that explains how it works, how to use it with Claude Code, Tavily, GitHub, and Playwright, and what is new through simple diagrams that make the whole concept easy for anyone to understand. f.mtr.cool/02udjim4zb

KDnuggets team member Shittu Olumide tested out DeepSeek Harness. Here's what he found. f.mtr.cool/fgssmkq2b5

This article pulls together every verifiable number and detail from Anthropic's announcement, the platform documentation, the system card, and independent coverage, so you have one place to check the facts. f.mtr.cool/se9wkasvl3

Six habits that keep a notebook runnable after you close the laptop. f.mtr.cool/xv5jr6xm6o

Polars is a DataFrame library written in Rust on the Apache Arrow memory format, and the speed comes less from the language than from the model. The model? Describe your work as expressions, and the Polars query engine ... f.mtr.cool/y1z0n07vyt

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Learn about private AI browsing for data professionals. f.mtr.cool/d2b9ck0ua2

Explore seven open-source ChatGPT alternatives, from lightweight local chat interfaces and document assistants to agent platforms, multi-user setups, and complete self-hosted AI workspaces. f.mtr.cool/h1phudoq0v

A closer look at TypeSafe AI’s Jev, what it actually does, what is genuinely new, and where the hype goes too far. f.mtr.cool/t8lfmrgz95

Learn how to build a Python AI agent with the OpenAI Agents SDK, using tool calling and function tools to automate multi-step workflows. f.mtr.cool/hkexyp4ypn

Almost every slow Polars script lacks in terms of one of these two: its expression engine written and executing in Rust across every core at its disposal, and its query optimizer that rewrites your work before any of it runs. f.mtr.cool/qxffnkevts

In this second article in our short series on SLM optimization techniques we focus on the reuse of the prompt prefix with a key-value cache. f.mtr.cool/8khsycc2eh

This article covers five prompt optimization strategies such as: prompt optimization, prompt engineering, LLM output quality, few-shot prompting, chain-of-thought, structured outputs. f.mtr.cool/3w0m5yfu0h

See how SerpApi’s Markdown output can cut search-result token usage by up to 74%, reducing AI agent costs and context-window overhead. f.mtr.cool/e0l180rlwe

This article walks through how ChatGPT Work specifically earns its reputation, where the underlying models genuinely hold up against the competition, and where the honest limits are. f.mtr.cool/qpv3midvog

What’s Actually Inside 24,723 Tokens of a Search Result? We Broke It Down, Field by Field See how SerpApi’s Markdown output can cut search-result token usage by up to 74%, reducing AI agent costs and context-window overhead. kdnuggets.com/2026/09/prnews…

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