AI21 Labs Jamba-Instruct model is now available in Amazon Bedrock
We are excited to announce the availability of the Jamba-Instruct large language […]
Read moreCategory: Machine learning
Scale and simplify ML workload monitoring on Amazon EKS with AWS Neuron Monitor container
Amazon Web Services is excited to announce the launch of the AWS […]
Read moreBuild safe and responsible generative AI applications with guardrails
Large language models (LLMs) enable remarkably human-like conversations, allowing builders to create […]
Read moreBuild an automated insight extraction framework for customer feedback analysis with Amazon Bedrock and Amazon QuickSight
Extracting valuable insights from customer feedback presents several significant challenges. Manually analyzing […]
Read moreImprove visibility into Amazon Bedrock usage and performance with Amazon CloudWatch
Amazon Bedrock has enabled customers to build new delightful experiences for their […]
Read moreImplement exact match with Amazon Lex QnAIntent
This post is a continuation of Creating Natural Conversations with Amazon Lex […]
Read moreHow Krikey AI harnessed the power of Amazon SageMaker Ground Truth to accelerate generative AI development
This post is co-written with Jhanvi Shriram and Ketaki Shriram from Krikey. […]
Read moreManage Amazon SageMaker JumpStart foundation model access with private hubs
Amazon SageMaker JumpStart is a machine learning (ML) hub offering pre-trained models […]
Read moreeSentire delivers private and secure generative AI interactions to customers with Amazon SageMaker
eSentire is an industry-leading provider of Managed Detection & Response (MDR) services […]
Read moreImperva optimizes SQL generation from natural language using Amazon Bedrock
This is a guest post co-written with Ori Nakar from Imperva. Imperva […]
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