Erik Nijkamp is a Research Scientist at Salesforce AI Research. His research emphasis is on large-scale generative models and representation learning with applications in NLP and computer vision. Prior to Salesforce, he was a PhD student under Prof. Song-Chun Zhu and Prof. Ying Nian Wu at UCLA.
Imagine an AI assistant that forgets your project requirements between Monday and Wednesday, or one that takes 30 seconds to recall a simple preference you mentioned yesterday. This is the reality of AI…
xGen-small is an enterprise-ready compact LM that combines domain-focused data-curation, scalable pre-training, length-extension, instruction fine-tuning, and reinforcement-learning to deliver Enterprise AI with long-context performance at predictable, low cost.
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…
Links: Research Paper, Github Can you imagine a machine writing an app for you, just by telling it what you want? As futuristic as this scenario sounds, it’s actually here today. Salesforce AI…
