Foundational Research

Exploring AI's limits, solving tough problems, and generating new knowledge for our company, our customers, and the world. We publish in journals, release open-source projects, and integrate findings into our Salesforce products.

Our Research Areas

Code Generation & Understanding

Improving productivity and enhancing software quality.

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Large Action Model

Understand human requests and execute complex tasks

Multi-Agent Framework

Improving LLM-based task agent systems for seamless coordination via a manager agent.

Retrieval-Augmented Generation

Framework integrating retrieval and generation for enhanced content creation

Check out our Open Source Projects

xGen-7B

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.

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Conversational AI Programming with CodeGen

Our large-scale language model, CodeGen, which turns simple English prompts into executable code.

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Merlion: A Machine Learning Library for Time Series

A Python library for time series intelligence that provides an end-to-end machine learning framework.

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Moirai: A Time Series Foundation Model for Universal Forecasting

Moirai is a time series foundation model, offering capabilities such as forecasting tasks across multiple domains, frequencies, and variables in a zero - shot manner.

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We research, design, and develop state-of-the-art AI algorithms for the world’s #1 CRM. Let’s shape the future of AI together!

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