Results for “purdue-model”

Designs, optimizes, and evaluates prompts for LLMs, including structured outputs, chain-of-thought, and evaluation frameworks.

Designs and optimizes prompts for LLM-powered applications, covering system prompt architecture, context management, output formatting, and evaluation.

Creates, optimizes, and iteratively refines agent prompts, system prompts, developer prompts, and reusable prompt templates with evals.

Silently restructures natural-language prompts into the format best suited for the model currently executing the skill, then answers the rewritten version.

Learn and apply prompt engineering techniques for LLMs, image generators, and video models using the inference.sh CLI.