Salesforce AI Research introduces xGen-Sales and xLAM AI models to bring people and autonomous agents together with data and actions.
Salesforce released AI models, xGen-Sales and xLAM, to bring humans and autonomous agents together with data and actions. xGen-Sales is a proprietary model trained and designed to power autonomous sales tasks with Agentforce. xLAM is a new family of Large Action Models designed to handle complex tasks and generate actionable outputs.
Developed by AI Research, these models will allow Salesforce customers to swiftly develop and deploy autonomous AI agents, enabling unparalleled scale.
“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,” Silvio Savarese, Chief Scientist of Salesforce AI Research noted.
xGen-Sales can provide more accurate and timely responses by optimizing its accuracy for pertinent industry operations. This includes automating sales tasks like managing the sales pipeline, collecting customer insights, and enriching contact lists.
With the help of this model, Agentforce sales agents can now coach representatives more quickly and accurately and manage pipelines on their own. Even Salesforce’s own assessments have shown that xGen-Sales’ capabilities have already surpassed those of other, much larger models.
On the other hand, xLAM models, compared to other larger and more complicated models that are already on the market, provide lower costs, faster performance, and more accuracy.
For instance, using only 1 billion parameters—the variables that models learn to produce outcomes and insights—the xLAM-1B model has beaten larger and more costly models. Salesforce employs a far more effective model for Agentforce, however, xLAM-1B is a non-commercial, open-source model to assist the progress of the science with the research community.
The xLAM family include four language models – Tiny (xLAM-1B), Small (xLAM-7B), Medium (xLAM-8x7B), and Large (xLAM-8x22B).
Why These AI Models Matter?
AI agents that can supplement employees’ work and take action on their behalf are essential for organizations, allowing them to focus on more important tasks. Agents utilizing xGen-Sales and xLAM models can discern when to assign work to a human for completion and quality assurance as these models are aware of both their own limitations and the jobs they are meant to perform.
With the latest release of its LLM Benchmark for CRM, Salesforce allows businesses to compare LLMs for CRM use cases and traverse the various models available.
Chief Analyst and Practice Lead, Enterprise Technology & Services at GlobalData, Rena Bhattacharyya said, “The models Salesforce is delivering for its Agentforce platform are what give us confidence that we’ll have the capabilities we need to roll out strong and cost-effective autonomous AI capabilities over time”.
Availability of AI Models
The non-commercial, open-source version of the xLAM suite of LAMs is available on Hugging Face for community review and benchmark testing. Agentforce is powered by a proprietary version that is far more sophisticated. After completing a pilot, xGen-Sales will shortly be made generally available.
Stay tuned to The Future Talk for more AI news and insights.