Tag: ai/ml

Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. The applications also extend into retail, where they can enhance customer experiences through dynamic chatbots and AI assistants, and into digital marketing, where they can organize customer feedback and recommend products based on descriptions and purchase …

Read more “Personalize your generative AI applications with Amazon SageMaker Feature Store”

Artificial Intelligence (AI) is increasingly playing an integral role in determining our day-to-day experiences. The applications of AI are rapidly expanding beyond search and recommendation systems to encompass high-stakes domains such as hiring, lending, criminal justice, healthcare, and education. The potential impact of AI on individuals, businesses, and society is vast, and it is essential …

Read more “Built with Google AI: Achieve better observability for ML models with Fiddler AI”

Artificial intelligence (AI) and machine learning (ML) have seen widespread adoption across enterprise and government organizations. Processing unstructured data has become easier with the advancements in natural language processing (NLP) and user-friendly AI/ML services like Amazon Textract, Amazon Transcribe, and Amazon Comprehend. Organizations have started to use AI/ML services like Amazon Comprehend to build classification …

Read more “Improve prediction quality in custom classification models with Amazon Comprehend”

Posted by Carlos Esteves and Ameesh Makadia, Research Scientists, Google Research, Athena Team Typical deep learning models for computer vision, like convolutional neural networks (CNNs) and vision transformers (ViT), process signals assuming planar (flat) spaces. For example, digital images are represented as a grid of pixels on a plane. However, this type of data makes …

Read more “Scalable spherical CNNs for scientific applications”

Posted by Carlos Esteves and Ameesh Makadia, Research Scientists, Google Research, Athena Team Typical deep learning models for computer vision, like convolutional neural networks (CNNs) and vision transformers (ViT), process signals assuming planar (flat) spaces. For example, digital images are represented as a grid of pixels on a plane. However, this type of data makes …

Read more “Scalable spherical CNNs for scientific applications”

Analyzing medical images plays a crucial role in diagnosing and treating diseases. The ability to automate this process using machine learning (ML) techniques allows healthcare professionals to more quickly diagnose certain cancers, coronary diseases, and ophthalmologic conditions. However, one of the key challenges faced by clinicians and researchers in this field is the time-consuming and …

Read more “Simplify medical image classification using Amazon SageMaker Canvas”

Generative AI marks a significant technological shift. Like the internet or the mobile phone, its potential impact on individual and business productivity is extraordinary. Indeed, 82% of organizations considering or currently using generative AI believe it will either significantly change or transform their industry (Google Cloud Gen AI Benchmarking Study, July 2023). In retail, the …

Read more “Generative AI for retail: how to keep pace and get ahead”

The countdown has officially begun! We’re just one month away from the highly anticipated Chatbot Conference, and the excitement is palpable. As we gear up for what promises to be an enlightening and engaging day, here’s a quick refresher on what to expect: LLMs Uncovered: Delve deep into Large Language Models and get a grasp of …

Read more “Only 1 Month To Go: The Chatbot Conference Awaits!”