Reactive Machines

Building a deep learning-based explainable next-best-product recommendation system helps banking institutions predict which product a customer needs next. Banks hold…

Long-term modeling of Large-scale Language Models (LLMs) remains unstable even when advanced techniques are provided. Examining controlled algorithmic puzzles, we…

This post continues our series on best practices with Amazon Bedrock Guardrails. For the previous post, see Build safe generative…

This post was co-written with Motorway and the AWS Prototyping and AI Customer Engineering (PACE) team. Motorway, a UK-based online…

AI Teammates are agentic AI on Amazon Bedrock, and few engineering organizations run them in production at the scale that…

When you fine-tune a model using Supervised Fine-Tuning (SFT), creating high-quality chain-of-thought (CoT) reasoning traces for your training data is…

API training called large language modeling (LLM) requires large amounts of high quality. However, collecting such data at scale often…

The latest distribution models enable high-quality video production, but suffer from slow runtimes. The large transformer-based backbones used in these…

With stock firmware and software, developers could not modify their AWS DeepRacer devices to run the latest operating systems. Now,…

We study the spatial encoding of multi-view converters that process tokens from a set of input images, and seek a…