Vertex AI中的多模态LLM工作流程 培训
Vertex AI提供了强大的工具，用于构建多模态LLM工作流程，将文本、音频和图像数据集成到单一管道中。通过长上下文窗口支持和Gemini API参数，它能够在规划、推理和跨模态智能方面实现高级应用。
本次讲师指导的培训（线上或线下）面向希望设计、构建和优化Vertex AI中多模态AI工作流程的中级到高级从业者。
培训结束后，参与者将能够：
- 利用Gemini模型处理多模态输入和输出。
- 实现复杂推理的长上下文工作流程。
- 设计集成文本、音频和图像分析的管道。
- 优化Gemini API参数以提高性能和成本效率。
课程形式
- 互动讲座和讨论。
- 多模态工作流程的实践实验室。
- 基于项目的多模态应用案例练习。
课程定制选项
- 如需为本课程定制培训，请联系我们安排。
感谢您发送咨询！我们的团队成员将很快与您联系。
感谢您发送预订！我们的团队成员将很快与您联系。
课程大纲
Vertex AI中的多模态LLM简介
- Vertex AI中的多模态功能概述
- Gemini模型及其支持的模态
- 企业和研究中的应用案例
开发环境设置
- 配置Vertex AI以支持多模态工作流程
- 跨模态数据集的处理
- 实践实验室：环境设置和数据集准备
长上下文窗口与高级推理
- 理解长上下文工作流程
- 规划与决策中的应用案例
- 实践实验室：实现长上下文分析
跨模态工作流程设计
- 结合文本、音频和图像分析
- 在管道中链接多模态步骤
- 实践实验室：设计多模态管道
使用Gemini API参数
- 配置多模态输入和输出
- 优化推理和效率
- 实践实验室：调整Gemini API参数
高级应用与集成
- 交互式多模态代理和助手
- 集成外部API和工具
- 实践实验室：构建多模态应用
评估与迭代
- 测试多模态性能
- 准确性、对齐和漂移的指标
- 实践实验室：评估多模态工作流程
总结与下一步
要求
- 熟练掌握Python编程
- 具备机器学习模型开发经验
- 熟悉多模态数据（文本、音频、图像）
受众
- AI研究人员
- 高级开发人员
- 机器学习科学家
14 小时
需要帮助选择合适的课程吗？
china@nobleprog.com 或拨打 400 6116 540
Vertex AI中的多模态LLM工作流程 培训 - 询价
Vertex AI中的多模态LLM工作流程 - 问询
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