Releases

Amazon released its lower-cost Titan text-generation model through Bedrock.

AWS launched managed retrieval-augmented generation for grounding foundation models in private data.

AWS made Amazon Bedrock generally available with managed access to Amazon and third-party foundation models.

Amazon agreed to invest up to $4 billion in Anthropic, with AWS becoming Anthropic's primary cloud provider and Trainium and Inferentia used for model development.

AWS introduced managed agents that orchestrate foundation models, enterprise data and API actions.

AWS introduced a generative-AI service for transcribing clinical conversations and drafting preliminary clinical notes.

AWS launched Inferentia2-powered EC2 instances for large-scale generative-AI inference.

Amazon introduced its first text embedding foundation model through the Bedrock preview.

AWS made its generative-AI coding assistant generally available, including a free individual tier and reference tracking.

AWS announced a managed service for building generative-AI applications with foundation models from Amazon and third parties.

AWS introduced Amazon Titan, its family of text generation and embedding foundation models available through Bedrock.

Amazon introduced an AI and computer-vision system able to identify and handle individual products.

AWS launched Trainium-powered EC2 instances for high-performance deep-learning training.

Amazon researchers published a 20-billion-parameter multilingual sequence-to-sequence teacher model.

AWS introduced its generative-AI coding companion in preview.

Amazon unveiled its first fully autonomous mobile robot for safely operating around employees.

AWS introduced a no-code visual interface for generating machine-learning predictions.

AWS founder Andy Jassy succeeded Jeff Bezos as Amazon's chief executive officer.

AWS introduced a HIPAA-eligible health data lake using FHIR and machine learning.

AWS introduced tools for bias detection and model explainability.

AWS introduced machine-learning-based anomaly detection for business and operational metrics.

AWS introduced an end-to-end condition-monitoring system using sensors and machine learning.

AWS introduced predictive maintenance from industrial sensor data.

AWS introduced a computer-vision service for visual defect and anomaly detection.

AWS introduced an ML-powered service for detecting abnormal operational behavior and recommending remediation.