Xuan Phi Nguyen is a Senior Research Scientist at Salesforce AI Research. His research targets building and training reasoning agents, reinforcement learning at scale, efficient compute and infrastructure for AI training and inference. At Salesforce, he led SFR-RAG, SFR-DeepResearch and SFR-RL. Previously, he was a Senior Scientist at Alibaba and received his PhD from Nanyang Technical University
What if launching an RL training run felt less like operating a GPU cluster and more like talking to a sharp research engineer in Slack? Training AI models is still strangely artisanal, involving…
Introduction Reinforcement Learning from Human or AI Feedback (RLHF, RLAIF) has become the standard recipe for aligning large language models (LLMs). But as we push into the agentic era — where models call…
AI agents that rely on web search are vulnerable to “well poisoning” attacks, where adversaries publish fabricated but authoritative-sounding content designed to be retrieved during search. Think “AI Slop” for agents. Our research…
What is FINDAP? The FINDAP Framework is a cutting-edge approach to fine-tune large language models (LLMs) specifically for the finance industry. While LLMs like ChatGPT or Bard are excellent general-purpose tools, specialized domains…
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…
