Remove DevOps Remove Generative AI Remove Responsible AI
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Your guide to generative AI and ML at AWS re:Invent 2024

AWS Machine Learning Blog

This year, generative AI and machine learning (ML) will again be in focus, with exciting keynote announcements and a variety of sessions showcasing insights from AWS experts, customer stories, and hands-on experiences with AWS services. Fifth, we’ll showcase various generative AI use cases across industries.

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Achieve DevOps maturity with BMC AMI zAdviser Enterprise and Amazon Bedrock

AWS Machine Learning Blog

Although much of the focus around analysis of DevOps is on distributed and cloud technologies, the mainframe still maintains a unique and powerful position, and it can use the DORA 4 metrics to further its reputation as the engine of commerce. Pass the generative AI prompt to Amazon Bedrock (using Anthropic’s Claude2 model on Amazon Bedrock).

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Enabling generative AI self-service using Amazon Lex, Amazon Bedrock, and ServiceNow

AWS Machine Learning Blog

The solution will confer with responsible AI policies and Guardrails for Amazon Bedrock will enforce organizational responsible AI policies. Stay up to date with the latest advancements in generative AI and start building on AWS. Scroll down to Data source and select the data source. Choose Sync.

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Process formulas and charts with Anthropic’s Claude on Amazon Bedrock

AWS Machine Learning Blog

Amazon Bedrock is a fully managed service that provides a single API to access and use various high-performing foundation models (FMs) from leading AI companies. It offers a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI practices. samples/2003.10304/page_2.png"

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GenASL: Generative AI-powered American Sign Language avatars

AWS Machine Learning Blog

The rise of foundation models (FMs), and the fascinating world of generative AI that we live in, is incredibly exciting and opens doors to imagine and build what wasn’t previously possible. Users can input audio, video, or text into GenASL, which generates an ASL avatar video that interprets the provided data.

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Designing generative AI workloads for resilience

AWS Machine Learning Blog

Resilience plays a pivotal role in the development of any workload, and generative AI workloads are no different. There are unique considerations when engineering generative AI workloads through a resilience lens. Generative AI workloads are no different.

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Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

AWS Machine Learning Blog

Generative AI question-answering applications are pushing the boundaries of enterprise productivity. These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques.