Learn how to craft effective AI prompts that deliver accurate, creative, and reliable responses. This deep dive covers structure, context, testing, and real-world strategies for prompt engineering success.
Learn how to design efficient prompts and reduce token usage in large language models. A deep, practical guide for developers and AI enthusiasts.
Understand how system prompts and user prompts shape AI responses, with practical examples, coding demos, and insights into performance, safety, and real-world use.
Learn how to shorten and optimize your LLM prompts to reduce token usage, improve accuracy, and save money using tools like LLMLingua, GIST tokens, and PCToolkit.
Learn how to make large language model outputs consistent and reliable using structured prompts, temperature control, and Pydantic validation.
GitHub Copilot is evolving fast. From a new free AI code editor to Spec-Driven Development and better prompting strategies, here's everything you need to know about making Copilot truly reliable.
