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Meta SAM 2.1 is now available in Amazon SageMaker JumpStart
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AWS DeepRacer: Closing time at AWS re:Invent 2024 –How did that physical racing go?
Having spent the last years studying the art of AWS DeepRacer in the physical world, the author went to AWS re:Invent 2024. How did it go? In AWS DeepRacer: How to master physical racing?, I wrote in detail about some aspects relevant to racing AWS DeepRacer in the physical world. We looked at the differences…
Optimizing AI implementation costs with Automat-it
This post was written by Claudiu Bota, Oleg Yurchenko, and Vladyslav Melnyk of AWS Partner Automat-it. As organizations adopt AI and machine learning (ML), they’re using these technologies to improve processes and enhance products. AI use cases include video analytics, market predictions, fraud detection, and natural language processing, all relying on models that analyze data…
Best practices for Amazon SageMaker HyperPod task governance
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Maximize your file server data’s potential by using Amazon Q Business on Amazon FSx for Windows
Organizations need efficient ways to access and analyze their enterprise data. Amazon Q Business addresses this need as a fully managed generative AI-powered assistant that helps you find information, generate content, and complete tasks using enterprise data. It provides immediate, relevant information while streamlining tasks and accelerating problem-solving. Amazon FSx for Windows File Server is…
LLM-as-a-judge on Amazon Bedrock Model Evaluation
The evaluation of large language model (LLM) performance, particularly in response to a variety of prompts, is crucial for organizations aiming to harness the full potential of this rapidly evolving technology. The introduction of an LLM-as-a-judge framework represents a significant step forward in simplifying and streamlining the model evaluation process. This approach allows organizations to…
