📰 KDnuggets

This article pulls together every verifiable number and detail from Anthropic's announcement, the platform documentation, the system card, and independent cover

Six habits that keep a notebook runnable after you close the laptop.

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? Desc

Learn about private AI browsing for data professionals.

Explore seven open-source ChatGPT alternatives, from lightweight local chat interfaces and document assistants to agent platforms, multi-user setups, and comple

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

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

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 i

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.

This article covers five prompt optimization strategies such as: prompt optimization, prompt engineering, LLM output quality, few-shot prompting, chain-of-thoug

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

This article walks through how ChatGPT Work specifically earns its reputation, where the underlying models genuinely hold up against the competition, and where

Explore five free hands-on workshops covering data engineering, machine learning, MLOps, LLMs, AI agents, and AI development through practical lessons, homework

Scikit-LLM wraps language models in the scikit-learn estimator API, so it drops into a Pipeline or a cross-validation loop natively.

Learn how to build effective evals for AI agents, from designing clear tasks and choosing the right graders to building reliable eval harnesses and tracking cha

Explore how JONI approaches AI agent orchestration with persistent runtimes, multi-model routing, execution capabilities, and reliability beyond simple content

Opal is Google Labs' no-code tool for turning natural language into working AI mini-apps, built on top of an internal framework called Breadboard. Here's how I

Explore five free Microsoft GitHub courses covering data science, machine learning, artificial intelligence, generative AI, LLMs, RAG, fine-tuning, and AI agent

Senior Python practice, watched up close, is mostly surprise reduction. These seven habits surface the surprises before production does.

DeepSeek-V4.1-Flash shows how Causal Encoder-Decoder architecture, MoE, KV cache compression, CSA2, cheaper prefill, and efficient decoding can make powerful op

Learn how to refactor messy Python code into clean, maintainable functions.

This article explains 5 Python techniques for efficient resource orchestration and sticks to what's stable today, 3.11 and later for the core techniques, with o

If you’re paying for ChatGPT, Claude, and another AI tool simultaneously, this review is for you. It covers what an AI platform like Abacus AI actually includes

Once feature engineering lives inside a Pipeline , each step is fitted on training data only, and the model is scored what it actually earned. And that is the i