In this Google DeepMind course you will discover the mechanisms of the transformer architecture. You will investigate how transformer language models process prompts to make context-sensitive next-token predictions. Through practical activities you will explore the attention mechanism, visualize attention weights, and encounter advanced concepts like masked attention and multi-head attention. You will also learn other techniques that are necessary to build neural networks that are well-suited to be used as language models. Finally, through activities on values, stakeholder mapping and community engagement, you will practice concrete tools for ensuring AI projects are developed with communities, not just for them.
完成 在 Agent Platform 中设计提示入门技能徽章课程,展示以下方面的技能: Agent Platform 中的提示工程、图片分析和多模态生成式技术。探索如何编写有效的提示,指导生成式 AI 输出, 以及将 Gemini 模型应用于真实的营销场景。
本课程介绍 Google Cloud 的 AI 和机器学习 (ML) 能力,重点讲解如何开发生成式和预测式 AI 项目。本课程将探讨“数据到 AI”全生命周期中的多种技术、产品和工具,并通过互动练习帮助数据科学家、AI 开发者和机器学习工程师提升专业能力。