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3 Polars Tricks for High-Performance Data Manipulation

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...

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Reusing the Prompt Prefix with a Key-Value Cache for SLM Optimization

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.

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5 Prompt Optimization Strategies That Actually Improve LLM Output

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

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What’s So Good About ChatGPT Work? Here’s What I Found

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.

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5 Free Zoomcamps From Data Pipelines to AI Agents

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

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Estimators in Scikit-LLM: A KDnuggets Cheat Sheet

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

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How to Build Effective Evals for AI Agents

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 changes over time.

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Orchestration and Execution: How JONI Approaches the Agent Layer

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

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How I’m Using Google Opal for Even More AI Automations

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 learned to use it best.

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5 Free Microsoft GitHub Courses to Learn Data Science and Artificial...

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

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7 Python Best Practices Senior Developers Follow (That Beginners Often Miss)

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

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Switchyard: NVIDIA’s Open Source Routing Library

Stop sending every AI request to your most expensive model. See how intelligent routing can cut cost and latency without sacrificing much quality.

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5 Free LLM API Providers You Can Use in 2026

Explore five free AI API providers for accessing large language models, fast inference, multimodal AI, and agentic applications without paying for API usage.

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I Asked ChatGPT to Analyze 3 Datasets. It Made the Same Mistakes Every Time

The review pass fixed a row count and approved two wrong conclusions.

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5 Free Courses to Go From LLM Beginner to Practitioner

A curated, linear pipeline of high-signal free resources that takes you from backpropagation basics to deploying production-grade LLM applications.

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Quantifying User Behavior Patterns to Build Better Predictive Features

Simply knowing that a 35-year-old male in Seattle clicked 12 times last month tells you almost nothing about his intent.

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This Python Library Can Run Pandas Workloads Up to 20x Faster

Discover how FireDucks can speed up pandas workloads with lazy execution, compiler optimization, and multithreaded processing, delivering up to 20x faster DataFrame performance in our benchmark.

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5 Real-World Applications of Agentic AI in Enterprise Automation

Deploy agentic AI across SRE, finance, legal, migration, and security with deterministic safety constraints.

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Free Transcription with Speakr

How to set up, use, and get the most out of a private, self-hosted transcription platform with full control over where your audio goes

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7 Common Python Mistakes to Avoid in AI Workflows

A clean run proves the process executed. It says nothing about what the pipeline learned, from which rows, in what state, or whether the saved result can be trusted anywhere else.

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