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Deploy DeepSeek-R1 Distilled Llama models in Amazon Bedrock

AWS Machine Learning Blog

Open foundation models (FMs) have become a cornerstone of generative AI innovation, enabling organizations to build and customize AI applications while maintaining control over their costs and deployment strategies. An S3 bucket prepared to store the custom model. For more information, see Creating a bucket.

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HR and Talent in the Era of AI

IBM Journey to AI blog

The emergence of generative AI and foundation models has revolutionized the way every business, across industries, operates at this current inflection point. This is especially true in the HR function, which has been pushed to the forefront of the new AI era.

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Deploy DeepSeek-R1 distilled Llama models with Amazon Bedrock Custom Model Import

AWS Machine Learning Blog

Open foundation models (FMs) have become a cornerstone of generative AI innovation, enabling organizations to build and customize AI applications while maintaining control over their costs and deployment strategies. An S3 bucket prepared to store the custom model. For more information, see Creating a bucket.

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Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning Blog

These generative AI applications are not only used to automate existing business processes, but also have the ability to transform the experience for customers using these applications. When you create an AWS account, you get a single sign-on (SSO) identity that has complete access to all the AWS services and resources in the account.

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Simple guide to training Llama 2 with AWS Trainium on Amazon SageMaker

AWS Machine Learning Blog

Their impressive generative abilities have led to widespread adoption across various sectors and use cases, including content generation, sentiment analysis, chatbot development, and virtual assistant technology. This results in faster restarts and workload completion. Llama2 by Meta is an example of an LLM offered by AWS.

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Get started quickly with AWS Trainium and AWS Inferentia using AWS Neuron DLAMI and AWS Neuron DLC

AWS Machine Learning Blog

Launch the instance using Neuron DLAMI Complete the following steps: On the Amazon EC2 console, choose your desired AWS Region and choose Launch Instance. You can update your Auto Scaling groups to use new AMI IDs without needing to create new launch templates or new versions of launch templates each time an AMI ID changes.

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Unearth insights from audio transcripts generated by Amazon Transcribe using Amazon Bedrock

AWS Machine Learning Blog

Generative AI continues to push the boundaries of what’s possible. One area garnering significant attention is the use of generative AI to analyze audio and video transcripts, increasing our ability to extract valuable insights from content stored in audio or video files. Current status is {job_status}.")