Generative AI operating models in enterprise organizations with Amazon Bedrock

Favorite Generative AI can revolutionize organizations by enabling the creation of innovative applications that offer enhanced customer and employee experiences. Intelligent document processing, translation and summarization, flexible and insightful responses for customer support agents, personalized marketing content, and image and code generation are a few use cases using generative AI

Read More
Shared by AWS Machine Learning January 30, 2025

Deploy DeepSeek-R1 distilled Llama models with Amazon Bedrock Custom Model Import

Favorite Open foundation models (FMs) have become a cornerstone of generative AI innovation, enabling organizations to build and customize AI applications while maintaining control over their costs and deployment strategies. By providing high-quality, openly available models, the AI community fosters rapid iteration, knowledge sharing, and cost-effective solutions that benefit both

Read More
Shared by AWS Machine Learning January 30, 2025

Track LLM model evaluation using Amazon SageMaker managed MLflow and FMEval

Favorite Evaluating large language models (LLMs) is crucial as LLM-based systems become increasingly powerful and relevant in our society. Rigorous testing allows us to understand an LLM’s capabilities, limitations, and potential biases, and provide actionable feedback to identify and mitigate risk. Furthermore, evaluation processes are important not only for LLMs,

Read More
Shared by AWS Machine Learning January 29, 2025

Optimizing AI responsiveness: A practical guide to Amazon Bedrock latency-optimized inference

Favorite In production generative AI applications, responsiveness is just as important as the intelligence behind the model. Whether it’s customer service teams handling time-sensitive inquiries or developers needing instant code suggestions, every second of delay, known as latency, can have a significant impact. As businesses increasingly use large language models

Read More
Shared by AWS Machine Learning January 29, 2025