Reactive Machines

[ad_1] Building a deep learning-based explainable next-best-product recommendation system helps banking institutions predict which product a customer needs next. Banks…

[ad_1] Long-term modeling of Large-scale Language Models (LLMs) remains unstable even when advanced techniques are provided. Examining controlled algorithmic puzzles,…

[ad_1] This post continues our series on best practices with Amazon Bedrock Guardrails. For the previous post, see Build safe…

[ad_1] This post was co-written with Motorway and the AWS Prototyping and AI Customer Engineering (PACE) team. Motorway, a UK-based…

[ad_1] AI Teammates are agentic AI on Amazon Bedrock, and few engineering organizations run them in production at the scale…

[ad_1] When you fine-tune a model using Supervised Fine-Tuning (SFT), creating high-quality chain-of-thought (CoT) reasoning traces for your training data…

[ad_1] API training called large language modeling (LLM) requires large amounts of high quality. However, collecting such data at scale…

[ad_1] The latest distribution models enable high-quality video production, but suffer from slow runtimes. The large transformer-based backbones used in…

[ad_1] With stock firmware and software, developers could not modify their AWS DeepRacer devices to run the latest operating systems.…

[ad_1] We study the spatial encoding of multi-view converters that process tokens from a set of input images, and seek…