AWS Machine Learning

OCTOBER 2, 2024

However, scaling up generative AI and making adoption easier for different lines of businesses (LOBs) comes with challenges around making sure data privacy and security, legal, compliance, and operational complexities are governed on an organizational level. In this post, we discuss how to address these challenges holistically.

Government 131

Government APIs Enterprise Best practices 131

AWS Machine Learning

NOVEMBER 16, 2023

Amazon SageMaker provides purpose-built tools for machine learning operations (MLOps) to help automate and standardize processes across the ML lifecycle. All these capabilities are built to help multiple lines of business innovate with speed and agility while governing at scale with central controls.

Healthcare 125

Healthcare Government Engineering APIs 125

AWS Machine Learning

APRIL 18, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon with a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Scripts 135

Scripts Best practices Engineering Accountability 135

AWS Machine Learning

MARCH 14, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon via a single API. This improves efficiency and allows larger contexts to be used. This supports safer adoption.

Best practices 136

Best practices Engineering Chatbots Enterprise 136

AWS Machine Learning

NOVEMBER 22, 2023

Also learn how prompts can be integrated with your architecture and how to use API parameters for tuning the model parameters using Amazon Bedrock. This chalk talk provides an introduction to best practices for risk assessment related to fairness, robustness, explainability, privacy and security, transparency, and governance.

Engineering 139

Engineering Best practices APIs Government 139

AWS Machine Learning

JANUARY 26, 2024

Consider your security posture, governance, and operational excellence when assessing overall readiness to develop generative AI with LLMs and your organizational resiliency to any potential impacts. Many AWS customers align to industry standard frameworks, such as the NIST Cybersecurity Framework.

Best practices 140

Best practices Government Engineering Accountability 140

NobelBiz

APRIL 9, 2024

In this comprehensive article, we delve into the details of call center compliance , exploring its significance, the laws and regulations governing it, common mistakes to avoid, and best practices for ensuring adherence. Seamlessly integrate proprietary or third-party CRM applications with our extensive APIs and data dictionary libraries.

Call Center 104

Call Center Telemarketing Healthcare Government 104