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
AWS MLAmazon SageMaker Inference now supports G6e instances
Amazon SageMaker Inference now supports G6e instances for deploying large language models cost-effectively and with enhanced performance.
MIT AIA vision for U.S. science success
Advocating for U.S. science and technology advancements and global leadership through addressing major issues and fostering innovation.
Google CloudHow Vodafone is using gen AI to enhance network life cycle
Exploring Vodafone's integration of gen AI to revolutionize network operations and drive innovation with real-world use cases and future potential