AWS MLJohn Snow Labs Medical LLMs are now available in Amazon SageMaker JumpStart
John Snow Labs Medical LLMs now available in SageMaker JumpStart for efficient medical language understanding tasks.
AWS MLConnect SharePoint Online to Amazon Q Business using OAuth 2.0 ROPC flow authentication
Connect SharePoint Online to Amazon Q Business using OAuth 2.0 ROPC flow authentication, step-by-step guide for Azure AD configuration and integration setup
Lambda LabsPutting the NVIDIA GH200 Grace Hopper Superchip to good use: superior inference performance and economics for larger models
Leveraging NVIDIA GH200 Grace Hopper Superchip for enhanced performance and cost efficiency in large model inference
AWS MLAccelerating Mixtral MoE fine-tuning on Amazon SageMaker with QLoRA
Optimizing Mixtral MoE fine-tuning efficiency on Amazon SageMaker with QLoRA for large language models
MIT AIBuilding an understanding of how drivers interact with emerging vehicle technologies
Exploring driver interaction with emerging vehicle technologies through data-driven insights and human-centered design.
Google CloudCreate a self-escalating chatbot in Conversational Agents using Webhook and Generators
Learn how to create a self-escalating chatbot using Webhook and Generators in Conversational Agents
AWS MLImplement secure API access to your Amazon Q Business applications with IAM federation user access management
Implement secure API access with IAM federation to Amazon Q Business applications using enterprise IdP for user access management
AWS MLAmazon Bedrock Flows is now generally available with enhanced safety and traceability
Enhanced safety and traceability in Amazon Bedrock Flows now available for generative AI workflows without writing code
AWS MLGoverning the ML lifecycle at scale, Part 3: Setting up data governance at scale
Managing and governing data for ML at scale with Amazon DataZone and data mesh approach
AWS MLImprove factual consistency with LLM Debates
Leverage LLM debates to enhance factual consistency and veracity with persuasive language models.
AWS MLBuild generative AI applications on Amazon Bedrock with the AWS SDK for Python (Boto3)
Build generative AI applications on Amazon Bedrock using the AWS SDK for Python (Boto3) for programmatically incorporating foundation models
AWS MLOrchestrate generative AI workflows with Amazon Bedrock and AWS Step Functions
Efficiently orchestrate generative AI workflows with Amazon Bedrock using AWS Step Functions