Automated prompt engineering has emerged as a critical aspect in optimizing the performance of large language models ... DSPy is a framework for algorithmically optimizing LM prompts and weights, ...

Explore the codebase and learn how agent mode is implemented, what context is sent to LLMs, and how we engineer our prompts.' ...

Teaching prompt engineering to students; It also explores how prompt engineering intersects with metacognition, computational thinking, AI literacy, and educational equity–making it not just a tool, ...

Context engineering is not just the new vibe; it’s the new software architecture.

Today's generative artificial intelligence models can create everything from images to computer applications, but the quality of their output depends largely on the prompt a human user provides.

Google engineering leader Adi Osmani explains in his blog the basics of prompt engineering , which is the process of devising prompts so that AI can generate the desired output.

The framework helps the team to easily chain together different prompts and steps, such as fetching data from external sources, filtering and synthesizing the final output.

Just two years ago, prompt engineering was hailed as a hot new job in tech. Now it has all but disappeared. At the beginning of the corporate AI boom, some companies sought out large language ...

Just two years ago, prompt engineering was hailed as a hot new job in tech. Now it has all but disappeared. At the beginning of the corporate AI boom, some companies sought out large language ...