Reward modeling is critical in aligning LLMs with human preferences, particularly within the reinforcement learning from human feedback (RLHF) framework.…
Machine Learning
Board games have long been pivotal in shaping AI, serving as structured environments for testing decision-making and strategy. Games like…
Large language models (LLMs) have profoundly influenced natural language processing (NLP), excelling in tasks like text generation and language understanding.…
Code intelligence has grown rapidly, driven by advancements in large language models (LLMs). These models are increasingly utilized for automated…
Single-cell genomics has significantly advanced our understanding of cellular behavior, catalyzing innovations in treatments and precision medicine. However, single-cell sequencing…
Motivated by the phenomenon of strategic agents gaming a recommendation system to maximize the number of times they are recommended…
Given a source and a target probability measure supported on Rdmathbb{R}^dRd, the Monge problem aims for the most efficient way…
*Equal Contributors Data from wearable sensors (e.g., heart rate, step count) can be used to model mood patterns. We characterize…
Multi-modal large language models (MLLMs) have enabled numerous advances in understanding and reasoning in domains like vision, but we have…
The generative AI landscape has been rapidly evolving, with large language models (LLMs) at the forefront of this transformation. These…
Today at AWS re:Invent 2024, we are excited to announce a new feature for Amazon SageMaker inference endpoints: the ability…
This post is co-written with Abhishek Sawarkar, Eliuth Triana, Jiahong Liu and Kshitiz Gupta from NVIDIA. At re:Invent 2024, we…
This post was written with Zach Marston and Serg Masis from Syngenta. Syngenta and AWS collaborated to develop Cropwise AI,…
Today, Amazon SageMaker is excited to announce updates to the inference optimization toolkit, providing new functionality and enhancements to help…
Digital experience interruptions can harm customer satisfaction and business performance across industries. Application failures, slow load times, and service unavailability…
Amazon Q Business is a generative AI-powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks…
Organizations of every size and across every industry are looking to use generative AI to fundamentally transform the business landscape…
Amazon Kendra is an intelligent enterprise search service that helps you search across different content repositories with built-in connectors. AWS…
Scaling machine learning (ML) workflows from initial prototypes to large-scale production deployment can be daunting task, but the integration of…
Building generative AI applications presents significant challenges for organizations: they require specialized ML expertise, complex infrastructure management, and careful orchestration…