Introduction Imagine you’re working on an AI product that can summarize customer success phone calls for training purposes. Your company’s product leverages large language models (LLMs) to summarize, synthesize, triage, and generate relevant…
Co-authored by Hannah Cha, Orlando Lugo, and Sarah Tan At Salesforce, our Responsible AI & Technology team employs red teaming practices to improve the safety of our AI products by testing for malicious…
Meet the Office of Ethical and Humane Use Salesforce’s Office of Ethical and Humane Use provides navigational guidance for the tough questions that arise when human potential meets emergent technology. We work across…
As the number of voices opining about AI grows, knowing which are worth listening to is important. Here are 11 AI influencers you should know right now.
While we’ve seen amazing improvements in model performance over the last several years, we must be aware of the remaining downsides of these models. We believe that by jointly improving these models as well as evolving our approaches to evaluating them is essential going forward.
Some companies are AI-ifying their products without ensuring customer data is 100% protected. Here's how your business can leverage the productivity gains of AI without giving away your most sensitive data.