Evaluating RAG applications with Amazon Bedrock knowledge base evaluation

Favorite Organizations building and deploying AI applications, particularly those using large language models (LLMs) with Retrieval Augmented Generation (RAG) systems, face a significant challenge: how to evaluate AI outputs effectively throughout the application lifecycle. As these AI technologies become more sophisticated and widely adopted, maintaining consistent quality and performance becomes

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Shared by AWS Machine Learning March 14, 2025

Getting started with computer use in Amazon Bedrock Agents

Favorite Computer use is a breakthrough capability from Anthropic that allows foundation models (FMs) to visually perceive and interpret digital interfaces. This capability enables Anthropic’s Claude models to identify what’s on a screen, understand the context of UI elements, and recognize actions that should be performed such as clicking buttons,

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Shared by AWS Machine Learning March 14, 2025

Optimize hosting DeepSeek-R1 distilled models with Hugging Face TGI on Amazon SageMaker AI

Favorite DeepSeek-R1, developed by AI startup DeepSeek AI, is an advanced large language model (LLM) distinguished by its innovative, multi-stage training process. Instead of relying solely on traditional pre-training and fine-tuning, DeepSeek-R1 integrates reinforcement learning to achieve more refined outputs. The model employs a chain-of-thought (CoT) approach that systematically breaks

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Shared by AWS Machine Learning March 13, 2025

Revolutionizing customer service: MaestroQA’s integration with Amazon Bedrock for actionable insight

Favorite This post is cowritten with Harrison Hunter is the CTO and co-founder of MaestroQA. MaestroQA augments call center operations by empowering the quality assurance (QA) process and customer feedback analysis to increase customer satisfaction and drive operational efficiencies. They assist with operations such as QA reporting, coaching, workflow automations,

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Shared by AWS Machine Learning March 13, 2025

Creating asynchronous AI agents with Amazon Bedrock

Favorite The integration of generative AI agents into business processes is poised to accelerate as organizations recognize the untapped potential of these technologies. Advancements in multimodal artificial intelligence (AI), where agents can understand and generate not just text but also images, audio, and video, will further broaden their applications. This

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Shared by AWS Machine Learning March 13, 2025

How GoDaddy built a category generation system at scale with batch inference for Amazon Bedrock

Favorite This post was co-written with Vishal Singh, Data Engineering Leader at Data & Analytics team of GoDaddy Generative AI solutions have the potential to transform businesses by boosting productivity and improving customer experiences, and using large language models (LLMs) in these solutions has become increasingly popular. However, inference of

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Shared by AWS Machine Learning March 13, 2025