Artificial intelligence is evolving faster than most organizations can keep up with, and I’ve seen teams make the same mistake repeatedly: focusing on which large language model (LLM) to deploy, while ...

点击上方“Deephub Imba”,关注公众号,好文章不错过 !标准 RAG 流水线有个根本性的毛病：检索到的文档一旦与用户意图对不上号，模型照样能面不改色地输出一堆看似合理的胡话，既没有反馈机制也谈不上什么纠错能力。而Agentic RAG ...

Everybody scrambling to get good at prompt engineering might want to take a look at a couple examples used by Microsoft engineers doing bleeding-edge research into the hot new field of multimodal ...

在AI产品开发过程中，产品经理常常面临如何优化交互逻辑、提升AI生成内容质量和确保方案有效性的挑战。本文将深入探讨AI产品经理的两门必修课：Prompt工程与RAG架构实战，希望能帮到大家。 不知道你们在做产品经理的过程中，有没有遇到过这样的场景：当 ...

Azure AI Studio, while still in preview, checks most of the boxes for a generative AI application builder, with support for prompt engineering, RAG, agent building, and low-code or no-code development ...

AWS researchers have developed a new method for designing an automated RAG evaluation mechanism that could help enterprises build apps faster and reduce costs. AWS’ new theory on designing an ...

Writing accurate prompts can sometimes take considerable time and effort. Automated prompt engineering has emerged as a critical aspect in optimizing the performance of large language models (LLMs).

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I am continuing my ongoing coverage of ...