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

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 ...

It's no secret that AI agents burn massive amounts of tokens on search results and file retrievals. They pull in dozens of full-length files, logs, and comment blocks, and just reading through those ...

Stop sending every AI request to your most expensive model. See how intelligent routing can cut cost and latency without sacrificing much quality. Most production AI agents still send every LLM call ...

Agent Swarm is the headline feature, and Moonshot's own description of it is genuinely more specific than most vendor marketing. It first shipped January 27, 2026 alongside Kimi K2.5, described as a ...

Use Grok Build to create a production-ready data science workflow with EDA, scikit-learn, model training, FastAPI, API testing, and cloud deployment. Grok 4.6 is xAI's latest frontier model, built ...