AI/ML
RLHF on Nutanix Cloud Platform
Introduction The goal of this article is to show how customers can use a reinforcement learning on human feedback (RLHF) workflow to finetune a large
November 17, 2023
Introduction The goal of this article is to show how customers can use a reinforcement learning on human feedback (RLHF) workflow to finetune a large
Context In the past, the Hyperscalers have always been positioned as the default/ “you can’t go wrong” deployment zone for AI/ML workloads. But this is
Introduction The goal of this article is to show how customers can develop a generative pre-trained transformer (GPT) model from scratch using open source Python®
Summary Large Language Models (LLMs) based on the transformer architecture (for example, GPT, T5, and BERT) have achieved state-of-the-art (SOTA) results in various Natural Language
Summary Large Language Models (LLMs) based on the transformer architecture (for example, GPT, T5, and BERT), have achieved state-of-the-art (SOTA) results in various Natural Language
Summary Large Language Models (LLMs), based on the transformer architecture, like GPT, T5, and BERT, have achieved state-of-the-art (SOTA) results in various Natural Language Processing
Introduction Today, every company is exploring various opportunities in the space of Artificial Intelligence (AI). AI has the potential to transform a wide range of
Summary Due to significant advancements in machine learning over the past few years, state of the art models have achieved impressive milestones and can now
Summary The goal of this blog is to show how customers can train a transformer model from scratch using open source Python libraries on Nutanix
Summary The goal of this article is to show how customers can land their next generation AI workloads on Nutanix Cloud Platform (NCP). As a
