Yingbo Zhou is a Senior Director of Research in AI, specializing in advancing developer productivity through groundbreaking AI solutions. With a deep focus on applied research, Yingbo leads a team of scientists and engineers in creating state-of-the-art tools that streamline development workflows and empower developers. His leadership has driven the design and implementation of transformative tools enabling faster coding, efficient debugging, and seamless collaboration across engineering teams.
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…
Equal contribution between Erik Nijkamp and Hiroaki Hayashi. PaperCodeTweet Abstract The family of Salesforce CodeGen models is growing with CodeGen2.5 – a small, but mighty model! While there has been a recent trend…
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…
Speech recognition has been successfully depolyed on various smart devices, and is changing the way we interact with them. Traditional phonetic-based recognition approaches require training of separate components such as pronouciation, acoustic and language model.
