Why Salesforce is betting on generative AI for conversational workflows

Check out the on-demand sessions from the Low-Code/No-Code Summit to learn how to successfully innovate and achieve efficiency by upskilling and scaling citizen developers. Salesforce's AI research is heavily focused on generative AI techniques to provide a fully conversational workflow, according to Silvio Savarese, EVP and chief scientist at Salesforce. In a world with increasing workloads -- where even highly trained experts are expected to do more with less -- as well as constant information overload and the need to master complex tools, harnessing the power of simple conversation is incredibly useful, he says. In a recent Salesforce Research blog post, Saverase called conversation "a kind of universal interface for human collaboration." That's why Salesforce developed its open-source large-scale language model, CodeGen, which is competitive with OpenAI's Codex (which, in turn, powers GitHub Copilot) and turns simple English prompts into executable code.