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The Latest and Greatest from Salesforce Research

PyRCA: Making Root Cause Analysis Easy in AIOps

TL;DR: PyRCA is an open-source machine learning library specifically designed for conducting Root Cause Analysis (RCA) in IT operations. It offers a comprehensive framework that allows users to easily identify the complicated metric causal dependencies and automatically locate the root causes of incidents. The library provides a unified interface

11 Jul 2023 • Chenghao Liu #root cause analysis

CodeGen2.5: Small, but mighty

Equal contribution between Erik Nijkamp and Hiroaki Hayashi. Paper Code Tweet Abstract The family of Salesforce CodeGen models is growing with CodeGen2.5 – a small, but mighty model! While there has been a recent trend of large language models (LLM) of increasing size, we show that a small model can

06 Jul 2023 • Erik Nijkamp #CodeGen

TaiChi: Open Source Library for Few-Shot NLP

AUTHORS: Sharvin Shah, Jin Qu, Donald Rose TL;DR: TaiChi is an open source library for few-shot NLP, designed for data scientists and software engineers who want to get some quick results or build proof-of-concept products but don’t have much experience with few-shot learning (FSL). The library abstracts complex

15 Jun 2022 • Jin Qu #NLP

Science Advances Publishes AI Economist Research on Improving Tax Policies With Reinforcement Learning

TL;DR: The AI Economist, a reinforcement learning (RL) system, learns dynamic tax policies that optimize equality along with productivity in simulated economies, outperforming alternative tax systems. We have now expanded this research, which is being published in the interdisciplinary scientific journal Science Advances. Humans or AI: Which Can Design

05 May 2022 • Stephan Zheng #AI Economist

Salesforce Research at ICLR 2022

Conference Overview This year marks the Tenth International Conference on Learning Representations ( ICLR [https://iclr.cc/Conferences/2022]), one of the premier academic conferences dedicated to advancing research in representation learning - a type of machine learning also referred to as feature learning or deep learning. ICLR features the latest

25 Apr 2022 • Mia Ferrer #ICLR

Ethics in AI research papers and articles

This is my obsessively curated list of research papers and articles on ethics in AI that I have been collecting over the years. Ones in bold are those that I refer back to and found particularly useful. Let me know if I am missing your favorites.

20 Jan 2019 • Kathy Baxter #ethics