Under the Hood of NVIDIA and Palantir Turning Enterprise Data into Decision Intelligence On Tuesday, October 28 in Washington, DC, NVIDIA founder and CEO Jensen Huang announced our partnership and how we’ll be making NVIDIA models available through Palantir AIP — and pushing Ontology to the edge through NVIDIA’s accelerated compute. “Palantir and NVIDIA share a vision that …
This post was written with NVIDIA and the authors would like to thank Adi Margolin, Eliuth Triana, and Maryam Motamedi for their collaboration. Organizations today face the challenge of processing large volumes of audio data–from customer calls and meeting recordings to podcasts and voice messages–to unlock valuable insights. Automatic Speech Recognition (ASR) is a critical …
Read more “Hosting NVIDIA speech NIM models on Amazon SageMaker AI: Parakeet ASR”
Welcome to The Blueprint, a new feature where we highlight how Google Cloud customers are tackling unique and common challenges across industries using the latest AI and cloud technologies. We hope to inspire others looking to innovate in their work. The challenge: Giles AI is a London-based startup that helps healthcare and life sciences organizations …
Read more “The Blueprint: How Giles AI transforms medical research with conversational AI”
Hallucinations pose a significant obstacle to the reliability and widespread adoption of language models, yet their accurate measurement remains a persistent challenge. While many task- and domain-specific metrics have been proposed to assess faithfulness and factuality concerns, the robustness and generalization of these metrics are still untested. In this paper, we conduct a large-scale empirical …
Read more “Evaluating Evaluation Metrics — The Mirage of Hallucination Detection”
Building and scaling generative AI models demands enormous resources, but this process can get tedious. Developers wrestle with managing job queues, provisioning clusters, and resolving dependencies just to ensure consistent results. This infrastructure overhead, along with the difficulty of discovering the optimal training recipe and navigating the endless maze of hyperparameter and model architecture choices, …
Read more “Announcing new capabilities in Vertex AI Training for large-scale training”
A dangerous assumption that can be made from prior work on the bias transfer hypothesis (BTH) is that biases do not transfer from pre-trained large language models (LLMs) to adapted models. We invalidate this assumption by studying the BTH in causal models under prompt adaptations, as prompting is an extremely popular and accessible adaptation strategy …
Read more “Bias after Prompting: Persistent Discrimination in Large Language Models”
Author: Keertana Chidambaram, Qiuling Xu, Ko-Jen Hsiao, Moumita Bhattacharya (*The work was done when Keertana interned at Netflix.) Introduction This blog focuses on post-training generative recommender systems. Generative recommenders (GRs) represent a new paradigm in the field of recommendation systems (e.g. HSTU, OneRec). These models draw inspiration from recent advancements in transformer architectures used for …
Read more “Post-Training Generative Recommenders with Advantage-Weighted Supervised Finetuning”
We revisit scene-level 3D object detection as the output of an object-centric framework capable of both localization and mapping using 3D oriented boxes as the underlying geometric primitive. While existing 3D object detection approaches operate globally and implicitly rely on the a priori existence of metric camera poses, our method, Rooms from Motion (RfM) operates …
Read more “Rooms from Motion: Un-posed Indoor 3D Object Detection as Localization and Mapping”
Editor’s Note: This is the second in a two-part series highlighting demo sessions from AIPCon 8, Palantir’s most recent customer conference. In part one, we shared how partners across healthcare, retail, defense, and beyond are leveraging Palantir Foundry and AIP to tackle their most pressing operational challenges. AIPCon 8’s afternoon demo sessions showcased groundbreaking implementations …
Read more “Inside the AIPCon 8 Demos Transforming Manufacturing, Insurance, and Construction”
Generative AI has emerged as a transformative technology in healthcare, driving digital transformation in essential areas such as patient engagement and care management. It has shown potential to revolutionize how clinicians provide improved care through automated systems with diagnostic support tools that provide timely, personalized suggestions, ultimately leading to better health outcomes. For example, a …
Read more “Responsible AI design in healthcare and life sciences”