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…
Simply put, AI Assistants are built to be personalized, while AI Agents are built to be shared (and scaled)—and both techniques promise extraordinary opportunities across the enterprise.
LLM benchmarks evaluate how accurately a generative AI model performs, but most benchmarks overlook the kinds of real-world tasks an LLM would perform in an enterprise setting.
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.
AI-powered solutions like Salesforce CRM are revolutionizing customer engagement, streamlining workflows, and providing deeper insights into customer needs. However, with the rise of large language models (LLMs), new security challenges have emerged. One…
Today's investments in digital automation are laying the groundwork for a future where agents and robots converge in ways that reshape how work gets done.
Developers face unique challenges when retrieving code snippets, such as understanding syntax, control flow, and variable dependencies. Enter SFR-Embedding-Code, a groundbreaking family of code embedding models that aims to address these challenges and revolutionize how we retrieve and generate code.