We are launching a new generation of embedding models, new GPT-4 Turbo and moderation models, new API usage management tools, …
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New embedding models and API updates
New embedding models and API updates
We are launching a new generation of embedding models, new GPT-4 Turbo and moderation models, new API usage management tools, …
read more
Build enterprise-ready generative AI solutions with Cohere foundation models in Amazon Bedrock and Weaviate vector database on AWS Marketplace
Generative AI solutions have the potential to transform businesses by boosting productivity and improving customer experiences, and using large language …
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Build a vaccination verification solution using the Queries feature in Amazon Textract
Amazon Textract is a machine learning (ML) service that enables automatic extraction of text, handwriting, and data from scanned documents, …
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Reduce inference time for BERT models using neural architecture search and SageMaker Automated Model Tuning
In this post, we demonstrate how to use neural architecture search (NAS) based structural pruning to compress a fine-tuned BERT …
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Use mobility data to derive insights using Amazon SageMaker geospatial capabilities
Geospatial data is data about specific locations on the earth’s surface. It can represent a geographical area as a whole …
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Fine-tune and deploy Llama 2 models cost-effectively in Amazon SageMaker JumpStart with AWS Inferentia and AWS Trainium
Today, we’re excited to announce the availability of Llama 2 inference and fine-tuning support on AWS Trainium and AWS Inferentia …
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Host the Whisper Model on Amazon SageMaker: exploring inference options
OpenAI Whisper is an advanced automatic speech recognition (ASR) model with an MIT license. ASR technology finds utility in transcription …
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Democratic inputs to AI grant program: lessons learned and implementation plans
We funded 10 teams from around the world to design ideas and tools to collectively govern AI. We summarize the …
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Democratic inputs to AI grant program: lessons learned and implementation plans
We funded 10 teams from around the world to design ideas and tools to collectively govern AI. We summarize the …
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