Personalize your generative AI applications with Amazon SageMaker Feature Store

Favorite 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

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Shared by AWS Machine Learning October 6, 2023

Fast and cost-effective LLaMA 2 fine-tuning with AWS Trainium

Favorite Large language models (LLMs) have captured the imagination and attention of developers, scientists, technologists, entrepreneurs, and executives across several industries. These models can be used for question answering, summarization, translation, and more in applications such as conversational agents for customer support, content creation for marketing, and coding assistants. Recently,

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Shared by AWS Machine Learning October 5, 2023

Improve prediction quality in custom classification models with Amazon Comprehend

Favorite 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

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Shared by AWS Machine Learning October 5, 2023

Simplify medical image classification using Amazon SageMaker Canvas

Favorite 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

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Shared by AWS Machine Learning October 4, 2023