AI agents and assistants have the ability to take action on a user’s behalf, but each serves a distinct purpose.
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.
TL;DR: We introduce INDICT, a novel framework that empowers Large Language Models (LLMs) with Internal Dialogues of Critiques for both safety and helpfulness guidance. The internal dialogue is a dual cooperative system between…
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 the kind of production environment our customers operate in, models are just the start.
TLDR We trained a series of 7B LLMs named XGen-7B with standard dense attention on up to 8K sequence length for up to 1.5T tokens. We also fine tune the models on public-domain…
When you combine the linguistic fluency of an LLM with the ability to accomplish tasks and make decisions independently, generative AI is elevated to an active partner in getting work done.
Einstein Copilot has arrived! Find out more about the conversational AI for CRM here. Instead, imagine a cockpit that’s all but empty, trading wall-to-wall controls for a stunning, panoramic view. You take a…
