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Use LangChain with PySpark to process documents at massive scale with Amazon SageMaker Studio and Amazon EMR Serverless

Favorite Harnessing the power of big data has become increasingly critical for businesses looking to gain a competitive edge. From deriving insights to powering generative artificial intelligence (AI)-driven applications, the ability to efficiently process and analyze large datasets is a vital capability. However, managing the complex infrastructure required for big

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Shared by AWS Machine Learning September 4, 2024

Build a generative AI image description application with Anthropic’s Claude 3.5 Sonnet on Amazon Bedrock and AWS CDK

Favorite Generating image descriptions is a common requirement for applications across many industries. One common use case is tagging images with descriptive metadata to improve discoverability within an organization’s content repositories. Ecommerce platforms also use automatically generated image descriptions to provide customers with additional product details. Descriptive image captions also

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Shared by AWS Machine Learning September 4, 2024

Open Source AI Definition – Weekly update September 2nd

Favorite Share your thoughts about draft v0.0.9 @mkai added concerns about how OSI will address AI-generated content from both open and closed source models, given current legal rulings that such content cannot be copyrighted. He also suggests clarifying the difference between licenses for AI model parameters and the model itself

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Shared by voicesofopensource September 2, 2024

Implementing advanced prompt engineering with Amazon Bedrock

Favorite Despite the ability of generative artificial intelligence (AI) to mimic human behavior, it often requires detailed instructions to generate high-quality and relevant content. Prompt engineering is the process of crafting these inputs, called prompts, that guide foundation models (FMs) and large language models (LLMs) to produce desired outputs. Prompt

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Shared by AWS Machine Learning August 31, 2024

Best practices for prompt engineering with Meta Llama 3 for Text-to-SQL use cases

Favorite With the rapid growth of generative artificial intelligence (AI), many AWS customers are looking to take advantage of publicly available foundation models (FMs) and technologies. This includes Meta Llama 3, Meta’s publicly available large language model (LLM). The partnership between Meta and Amazon signifies collective generative AI innovation, and

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Shared by AWS Machine Learning August 31, 2024

Provide a personalized experience for news readers using Amazon Personalize and Amazon Titan Text Embeddings on Amazon Bedrock

Favorite News publishers want to provide a personalized and informative experience to their readers, but the short shelf life of news articles can make this quite difficult. In news publishing, articles typically have peak readership within the same day of publication. Additionally, news publishers frequently publish new articles and want

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Shared by AWS Machine Learning August 30, 2024

Accelerate Generative AI Inference with NVIDIA NIM Microservices on Amazon SageMaker

Favorite This post is co-written with Eliuth Triana, Abhishek Sawarkar, Jiahong Liu, Kshitiz Gupta, JR Morgan and Deepika Padmanabhan from NVIDIA.  At the 2024 NVIDIA GTC conference, we announced support for NVIDIA NIM Inference Microservices in Amazon SageMaker Inference. This integration allows you to deploy industry-leading large language models (LLMs) on

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Shared by AWS Machine Learning August 30, 2024