Salesforce is working on adding two new prompt engineering features to its Einstein 1 platform to speed up the development of generative AI applications in the enterprise, a top executive of the company said.
The two new features, namely a testing center and the provision of prompt engineering suggestions, are the fruit of significant investment in the company’s AI engineering team, said Claire Cheng, vice president of machine learning and AI engineering at Salesforce.
The features are expected to be released in the next few days, Cheng said, without giving an exact date.
Salesforce’s Einstein 1 platform, released in September last year, is an open platform that the company developed to enable enterprises to unify their data before developing generative AI-based applications and use cases via a low-code and no-code interface.
The platform also brings in large language model (LLM) providers such as OpenAI, Google, Cohere, and Hugging Face along with independent software vendors.
In essence, the platform is a combination of the Salesforce Data Cloud, its Einstein Copilot, and the Einstein Trust Layer, earlier released as part of the Salesforce AI Cloud. While the Data Cloud enables enterprises to bring in various data types and datasets, the Trust Layer serves to keep customer data within Salesforce by masking it from external LLMs, warning users of potentially toxic prompts or responses, and keeping an audit trail.
