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Achieve operational excellence with well-architected generative AI solutions using Amazon Bedrock

AWS Machine Learning

It’s a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like Anthropic, Cohere, Meta, Mistral AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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Your App Marketplace & the Importance of Product Partnerships

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As SaaS companies grow , they begin seeking out willing partners to build even more integrations using the public API. With the Uber/airline partnership example, it’s much easier for a customer to call an Uber rather than arrange for a car rental or other type of transportation. Learn from the industry standards in app stores.

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Gemma is now available in Amazon SageMaker JumpStart 

AWS Machine Learning

fine_tuned_predictor= estimator.deploy() You can choose to deploy the model fine-tuned on conversation data in SageMaker endpoint with HuggingFace messages API feature as an alternative approach. Dark Matter” by Blake Crouch – This novel follows a brilliant physicist named Jason Dessen, who is abducted and transported to a parallel universe.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

Conversely, the data in your model may be extremely sensitive and highly regulated, so deviation from AWS Key Management Service (AWS KMS) customer managed key (CMK) rotation and use of AWS Network Firewall to help enforce Transport Layer Security (TLS) for ingress and egress traffic to protect against data exfiltration may be an unacceptable risk.