AI agents are increasingly used today to automate complex enterprise tasks, ranging from customer service interactions to sophisticated data analysis and workflow management. Their importance lies in their ability to drive significant efficiency…
What Is Deep Research? Deep Research ≠ Deep Search. You may have come across “Deep Search” features in tools like ChatGPT or Claude — designed to enhance retrieval and concise answers. While Deep…
Main Takeaways Background LLM agents are seeing more and more applications in real life, from being personal assistants to helping software engineers write code and even working side by side with scientists on…
We’re in the midst of a digital agent revolution — where AI is no longer just supporting tasks, but actively driving business processes, from handling service requests to closing complex B2B sales deals.…
As businesses increasingly turn to AI-driven customer relationship management (CRM) solutions, safeguarding user interactions from harmful or inappropriate content becomes essential. Salesforce’s large language models (LLMs) are trained on vast datasets, which occasionally…
Generative AI (GenAI) technologies are increasingly integrated into every part of our daily workflow, from drafting emails to generating and fixing code with large language models (LLMs) and agents. Ensuring the safety and…
This blog details the process behind Salesforce’s first-ever AI Red Teaming Hackathon to build safety into our xGen family of AI Models.
Tl;Dr: Salesforce AI Research and Tableau AI collaborated to build the Pulse insight summary feature, GA for all Tableau Cloud customers starting in early 2024. The feature combines the power of generative AI…
Tl;Dr: Salesforce AI Research and Tableau AI collaborated to build the Pulse insight summary feature, GA for all Tableau Cloud customers starting in early 2024. The feature combines the power of generative AI…
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.
