Creating asynchronous AI agents with Amazon Bedrock

Favorite The integration of generative AI agents into business processes is poised to accelerate as organizations recognize the untapped potential of these technologies. Advancements in multimodal artificial intelligence (AI), where agents can understand and generate not just text but also images, audio, and video, will further broaden their applications. This

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Shared by AWS Machine Learning March 13, 2025

How GoDaddy built a category generation system at scale with batch inference for Amazon Bedrock

Favorite This post was co-written with Vishal Singh, Data Engineering Leader at Data & Analytics team of GoDaddy Generative AI solutions have the potential to transform businesses by boosting productivity and improving customer experiences, and using large language models (LLMs) in these solutions has become increasingly popular. However, inference of

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Shared by AWS Machine Learning March 13, 2025

Deploy DeepSeek-R1 distilled models on Amazon SageMaker using a Large Model Inference container

Favorite DeepSeek-R1 is a large language model (LLM) developed by DeepSeek AI that uses reinforcement learning to enhance reasoning capabilities through a multi-stage training process from a DeepSeek-V3-Base foundation. A key distinguishing feature is its reinforcement learning step, which was used to refine the model’s responses beyond the standard pre-training

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Shared by AWS Machine Learning March 11, 2025

Benchmarking Amazon Nova and GPT-4o models with FloTorch

Favorite Based on original post by Dr. Hemant Joshi, CTO, FloTorch.ai A recent evaluation conducted by FloTorch compared the performance of Amazon Nova models with OpenAI’s GPT-4o. Amazon Nova is a new generation of state-of-the-art foundation models (FMs) that deliver frontier intelligence and industry-leading price-performance. The Amazon Nova family of

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Shared by AWS Machine Learning March 11, 2025