Reactive Machines

Introducing SOCI indexing for Amazon SageMaker Studio: Faster container startup times for AI/ML workloads

Introducing SOCI indexing for Amazon SageMaker Studio: Faster container startup times for AI/ML workloads

[ad_1] Today, we are excited to introduce a new feature for SageMaker Studio: SOCI (Seekable Open Container Initiative) indexing. SOCI supports…
BED-LLM: Intelligent Data Collection and LLMs and Bayesian Experimental Design

BED-LLM: Intelligent Data Collection and LLMs and Bayesian Experimental Design

[ad_1] We propose a general-purpose approach to improve the ability of Large-scale Language Models (LLMs) to intelligently and flexibly gather…
Build and deploy scalable AI agents with NVIDIA NeMo, Amazon Bedrock AgentCore, and Strands Agents

Build and deploy scalable AI agents with NVIDIA NeMo, Amazon Bedrock AgentCore, and Strands Agents

[ad_1] This post is co-written with Ranjit Rajan, Abdullahi Olaoye, and Abhishek Sawarkar from NVIDIA. AI’s next frontier isn’t merely…
Track and manage assets used in AI development with Amazon SageMaker AI

Track and manage assets used in AI development with Amazon SageMaker AI

[ad_1] Building custom base models requires linking multiple assets across the development lifecycle such as data assets, computing infrastructure, model…
Effective Measurement of Decision Making

Effective Measurement of Decision Making

[ad_1] A feature of the decision theory of perfect equilibrium is that the agent who wants to minimize the optimal…
AgREE: Agentic Reasoning for Knowledge Graph Completion in Emerging Companies

AgREE: Agentic Reasoning for Knowledge Graph Completion in Emerging Companies

[ad_1] Open-domain Knowledge Graph Completion (KGC) faces significant challenges in an ever-changing world, especially considering the continuous emergence of new…
Management by design: The essential guide to successful AI scaling

Management by design: The essential guide to successful AI scaling

[ad_1] Consider this: Your business has just deployed its first productive AI system. The first results are promising, but as…
Data-Centric Studies for Improving Speech-Language Training

Data-Centric Studies for Improving Speech-Language Training

[ad_1] Spoken Question-Answering (SQA) is a key skill for usable artificial intelligence systems. Recently, several speech language models (SpeechLMs) have…
Score Distillation of Flow Matching Models

Score Distillation of Flow Matching Models

[ad_1] Diffusion models achieve high quality image reproduction but are limited by slow repetitive sampling. Distillation methods reduce this by…
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