The Check Up with Google

Favorite At The Check Up 2025, we shared more about the potential of AI in health and our latest health AI research, partnership and product updates. View Original Source (blog.google/technology/ai/) Here.

Intelligent healthcare assistants: Empowering stakeholders with personalized support and data-driven insights

Favorite Large language models (LLMs) have revolutionized the field of natural language processing, enabling machines to understand and generate human-like text with remarkable accuracy. However, despite their impressive language capabilities, LLMs are inherently limited by the data they were trained on. Their knowledge is static and confined to the information

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Shared by AWS Machine Learning March 17, 2025

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