We propose Moirai-MoE, the first mixture-of-experts time series foundation model, achieving token-level model specialization in a data-driven manner.
The SFR-Embedding-Mistral marks a significant advancement in text-embedding models, building upon the solid foundations of E5-mistral-7b-instruct and Mistral-7B-v0.1.
As the development and deployment of large language models (LLMs) accelerates, evaluating model outputs has become increasingly important. The established method of evaluating responses typically involves recruiting and training human evaluators, having them…
Co-authored by Hannah Cha, Orlando Lugo, and Sarah Tan At Salesforce, our Responsible AI & Technology team employs red teaming practices to improve the safety of our AI products by testing for malicious…
Retrieval Augmented Generation (RAG) has not only gained steam as one of the most invested areas of research in generative AI but also gathered considerable popularity and commercialization opportunities. RAG is typically applied…
Tl;Dr: Salesforce AI Research and Tableau AI collaborated to build the Pulse insight summary feature, GA for all Tableau Cloud customers starting in early 2024. The feature combines the power of generative AI…
Tl;Dr: Salesforce AI Research and Tableau AI collaborated to build the Pulse insight summary feature, GA for all Tableau Cloud customers starting in early 2024. The feature combines the power of generative AI…
We've introduced xLAM, our family of in-house Large Action Models, designed for function calling, reasoning, and planning. These models are designed to streamline and simplify the integration of AI into your workflows, reducing the complexity often associated with LLMs.
Huan Wang, Shelby Heinecke, Juan Carlos Niebles, Caiming Xiong TL;DR: We release xLAM, a series of LLMs optimized for function calling and AI Agents. It offers several variants designed to serve different application…
