Tag with "Prompt Engineering"

Researchers from Stanford and West Virginia Universities developed 'Verbalized Sampling,' a method that enhances generative AI diversity by adding a single sentence to prompts. This approach counters repetitive outputs while maintaining quality across writing, conversation simulations, and open-ended tasks.

Volc Engine has launched PromptPilot, an AI prompt engineering platform designed to simplify large model applications. The tool addresses key challenges like unclear demand expression and model capability boundaries through data-driven approaches. It offers features like automated prompt optimization and knowledge base integration, with successful case studies showing significant efficiency gains.

Microsoft has unveiled the Prompt Orchestration Markup Language (POML), a new structured language for prompt engineering in large language models. Designed to improve readability and maintainability, POML offers modular components and robust tool support. While some praise its innovation, others question its similarity to XML and practical necessity in evolving AI landscapes.

OpenAI has launched an official prompt guide for GPT-5, detailing how to optimize the model's performance in complex tasks, programming, and multimodal interactions. The guide highlights improvements in autonomy, code generation, and safety features while addressing community concerns about cost and performance.

AI Gist, a new open-source prompt management tool for AI developers, has launched with features like Jinja templates, multilingual support, and AI optimization. The tool simplifies prompt creation and management for large language models, gaining rapid adoption with over 1,200 downloads in its first two weeks.

Superblocks CEO Brad Menezes unveils 19 system prompts from leading AI coding tools, shedding light on enterprise-level AI logic. The company's new product, Clark, targets non-technical users for building internal tools, backed by $60M in funding.