Using LLMs to fortify cyber defenses: Sophos’s insight on strategies for using LLMs with Amazon Bedrock and Amazon SageMaker
This post is co-written with Adarsh Kyadige and Salma Taoufiq from Sophos. […]
Read moreCategory: Machine learning
Read graphs, diagrams, tables, and scanned pages using multimodal prompts in Amazon Bedrock
Large language models (LLMs) have come a long way from being able […]
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How Crexi achieved ML models deployment on AWS at scale and boosted efficiency
This post is co-written with Isaac Smothers and James Healy-Mirkovich from Crexi. […]
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Rad AI reduces real-time inference latency by 50% using Amazon SageMaker
This post is co-written with Ken Kao and Hasan Ali Demirci from […]
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Build a read-through semantic cache with Amazon OpenSearch Serverless and Amazon Bedrock
In the field of generative AI, latency and cost pose significant challenges. […]
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Apply Amazon SageMaker Studio lifecycle configurations using AWS CDK
This post serves as a step-by-step guide on how to set up […]
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Create a virtual stock technical analyst using Amazon Bedrock Agents
Stock technical analysis questions can be as unique as the individual stock […]
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Deploy Meta Llama 3.1 models cost-effectively in Amazon SageMaker JumpStart with AWS Inferentia and AWS Trainium
We’re excited to announce the availability of Meta Llama 3.1 8B and […]
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AWS achieves ISO/IEC 42001:2023 Artificial Intelligence Management System accredited certification
Amazon Web Services (AWS) is excited to be the first major cloud […]
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John Snow Labs Medical LLMs are now available in Amazon SageMaker JumpStart
Today, we are excited to announce that John Snow Labs’ Medical LLM […]
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