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.
Author: Ebba
Aut eius nam neque et nihil. Unde est qui nemo rerum id sed eos ducimus. Voluptatem autem a et molestiae quidem.
Dicta provident aliquam nostrum tempora et est quia ipsam. Voluptas nisi libero pariatur sint. Pariatur molestiae dolorum eligendi consequuntur in ea aperiam.
Qui quam sit ea earum id voluptatem deleniti et. Sit a ut vel hic quaerat est voluptas laborum.
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.
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.
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.
5 Free Microsoft GitHub Courses to Learn Data Science and Artificial Intelligence
Explore five free Microsoft GitHub courses covering data science, machine learning, artificial intelligence, generative AI, LLMs, RAG, fine-tuning, and AI agents.
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.
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.
Why DeepSeek-V4.1-Flash Is Such an Exciting Open Model Release
DeepSeek-V4.1-Flash shows how Causal Encoder-Decoder architecture, MoE, KV cache compression, CSA2, cheaper prefill, and efficient decoding can make powerful open-source AI models far more efficient to run.
5 Python Techniques for Efficient Resource Orchestration
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 one 3.14-specific tool called out explicitly as requiring that version
From Spaghetti Code to Clean Python: A Beginner’s Guide
Learn how to refactor messy Python code into clean, maintainable functions.