Company releases xGen-Sales and xLAM AI models
Salesforce has announced new AI models, including xGen-Sales, a proprietary model trained and designed to power autonomous sales tasks with Agentforce, and xLAM, a new family of Large Action Models designed to handle complex tasks and generate actionable outputs.
Together, these models developed by Salesforce AI Research will allow Salesforce customers to quickly set up and deploy autonomous AI agents that take action, driving unprecedented scale.
These models enhance the capabilities of Agentforce sales agents, allowing them to autonomously nurture pipeline and coach reps with greater accuracy and speed. xGen-Sales’ abilities have already eclipsed other much larger models, according to Salesforce’s own evaluations.
Next generations LLMs
xGen-Sales is a step toward the next generation of language models called Large Action Models (LAMs). In contrast to LLMs (Large Language Models) that require frequent human involvement and are mostly used for generating content, LAMs specialize in function-calling, which is the ability to execute capabilities within other systems and applications. In other words, they’re able to trigger the actions needed for AI agents to independently perform tasks for people.
“Building and training your own AI models can be time-consuming, costly, and incredibly frustrating. With Agentforce, we’re able to deliver appropriately sized models, built specifically for your business with your data to drive outcomes,” stated Silvio Savarese, Chief Scientist, Salesforce.
“Open-sourcing of LAM models is a game-changer. Salesforce continues to be a leader in accelerating AI adoption across sectors,” remarked Rena Bhattacharyya, Chief Analyst and Practice Lead, Enterprise Technology & Services at Global Data.
“The xGen-Sales model is purpose built to help companies build generative AI solutions that will augment the work of their sales teams with Agentforce,” commented MaryAnn Patel, SVP, Product Management, Salesforce.
