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Salesforce:2024构建可信生成式人工智能的六大策略研究报告(英文版)(26页).pdf

上传人: Kell****reet 编号:184896 2024-12-12 26页 6.83MB

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1、Write me an emailfor me to use as a templateHelp me findbetter ways to reach my audienceMessage EinsteinSix Strategies to Prepare for Trusted Generative AIGenerative AI has opened up a tech revolution,offering businesses large and small the opportunity to reshape how they operate,innovate,and engage

2、 with customers.AI can enhance efficiency by automating routine tasks,speeding up workflows,and reducing errors.What does that mean for employees?Theyll have more time to focus on more strategic tasks that require the magic of human creativity.At Salesforce,we see a future where customers use genera

3、tive AI to tackle their biggest challenges.With AI,youre now able to offer service that delights customers by giving agents real-time suggestions,write personalized sales scripts in seconds,and cut through the marketing noise with tailored content that resonates with specific customer needs.Essentia

4、lly,generative AI helps businesses use their data more effectively to address the most impactful issues to their growth.The benefits of generative AI expand beyond just business.AI has the potential to help discover new drugs,monitor energy usage,and optimize designs for solar panels and wind turbin

5、es.That means big transformations in healthcare,energy,and sustainability that will benefit everyone.Amid all this excitement,remember that the success of generative AI hinges on trust.Why?Generative AIs output can significantly affect people and businesses.Because of this potential impact,if youre

6、going to adopt generative AI,you must identify and address its potential risks.Then,build a trusted foundation for this transformative technology to ensure its used safely,reliably,and ethically.Marla Hay VP,Product Management,SalesforceForeword:Looking to the future with generative AIThis guide wil

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本文主要讨论了生成式人工智能(Generative AI)在商业应用中的机遇与挑战,并提出了构建可信赖的生成式人工智能的六项策略。 关键点包括: 1. 生成式人工智能利用大型语言模型(LLM)进行自我监督训练,能够生成包括文本、图像、代码、语音和视频在内的各种内容,其能力超越了传统神经网络。 2. 生成式人工智能为商业带来诸多益处,如提高运营效率、增强创新和创造力、提供个性化客户体验等。 3. 然而,生成式人工智能也存在一些风险,如准确性、安全性和结果的可信度等问题。 4. 为了构建可信赖的生成式人工智能,提出了六项策略:审计数据、设置隐私保护、保护数据访问、测试流程、建立数据治理和培训员工。 5. 这些策略旨在帮助企业安全、可靠和负责任地使用生成式人工智能,以实现业务创新和增长。
如何确保AI输出结果的准确性? 如何保护客户数据隐私? 如何测试和训练AI系统?
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