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…
The recent launch of Agentforce marks a pivotal moment in orienting Salesforce and our customers’ businesses toward an AI-empowered future. In this emerging landscape, augmented by a network of AI agents, the role…
Most agents can respond to a prompt, but ask them to click a button in your enterprise software, and suddenly its limitations show. In the age of generative AI, everyone’s racing to build…
We are excited to announce a Salesforce AI Research and Berkeley collaboration: BFCL Audio—a new benchmark that extends BFCL to the audio domain! A little Berkeley lore: back in 2022, we couldn’t find…
The landscape of AI agent development has evolved rapidly, with developers needing robust frameworks to build, test, and benchmark intelligent systems. MCP-Universe emerges as a comprehensive solution, providing a modular framework designed around…
Time series forecasting plays a central role in data-driven decision making. Yet, adapting forecasting models across different domains and temporal resolutions often requires custom engineering. This increases both development and maintenance costs —…
How “Move 37” points toward the future of synthetic business environments March 9, 2016. Seoul, South Korea. In the second game of the historic Go match between AlphaGo and grandmaster Lee Sedol, the…