We’re excited to share some major upgrades to these models: xLAM now supports multi-turn, natural conversations, enabling more complex, real-world agentic tasks. We’ve also expanded the model portfolio to increase accessibility and deployment flexibility across diverse enterprise environments.
In this blog, we’ll dive into the challenges of AI personalization, why current systems fall short, and how PersonaBench helps bridge the gap—paving the way for smarter, more reliable AI assistants.
Now generally available, Agentforce for Developers represents a significant step in Salesforce's mission to drive innovation and deliver intelligent development tools. Let’s explore how Agentforce, powered by Salesforce AI Research’s large language models, is transforming the way you code.
We've introduced xLAM, our family of in-house Large Action Models, designed for function calling, reasoning, and planning. These models are designed to streamline and simplify the integration of AI into your workflows, reducing the complexity often associated with LLMs.
We're thrilled to announce the integration of fuzzy matching across all features in the Contact object, providing customers with the tailored solutions they require.
