Author: AI Generated Robotic Content

This post is cowritten with Abdullahi Olaoye, Akshit Arora and Eliuth Triana Isaza at NVIDIA. As enterprises continue to push the boundaries of generative AI, scalable and efficient model training frameworks are essential. The NVIDIA NeMo Framework provides a robust, end-to-end solution for developing, customizing, and deploying large-scale AI models, while Amazon SageMaker HyperPod delivers …

Read more “Running NVIDIA NeMo 2.0 Framework on Amazon SageMaker HyperPod”

The quest to develop new medical treatments has historically been a slow, arduous process, screening billions of molecular compounds across decade-long development cycles. The vast majority of therapeutic candidates do not even make it out of clinical trials.  Now, AI is poised to dramatically accelerate this timeline.  As part of our wide-ranging, cross-industry collaboration, NVIDIA …

Read more “Accelerating AI in healthcare using NVIDIA BioNeMo Framework and Blueprints on GKE”

Palantir’s Response to the White House Office of Science and Technology Policy (OSTP) on Developing an AI Action Plan The United States must act decisively to maintain its AI leadership position At Palantir, we see our work as a duty and privilege: to support the United States of America, its core national interests, and the civilization …

Read more “Palantir’s Response to White House OSTP on Developing AI Action Plan”

Large language models (LLMs) have revolutionized the field of natural language processing, enabling machines to understand and generate human-like text with remarkable accuracy. However, despite their impressive language capabilities, LLMs are inherently limited by the data they were trained on. Their knowledge is static and confined to the information they were trained on, which becomes …

Read more “Intelligent healthcare assistants: Empowering stakeholders with personalized support and data-driven insights”