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Achieve DevOps maturity with BMC AMI zAdviser Enterprise and Amazon Bedrock

AWS Machine Learning Blog

In software engineering, there is a direct correlation between team performance and building robust, stable applications. Mainframe teams using BMC’s Git-based DevOps platform, AMI DevX ,can collect this data as easily as distributed teams can. Using a Git-based SCM pulls these insight together seamlessly.

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The Future of Software Engineering: LLMs and Beyond

Heartbeat

After closely observing the software engineering landscape for 23 years and engaging in recent conversations with colleagues, I can’t help but feel that a specialized Large Language Model (LLM) is poised to power the following programming language revolution.

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Automate chatbot for document and data retrieval using Agents and Knowledge Bases for Amazon Bedrock

AWS Machine Learning Blog

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 through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Chatbots 125
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Improve visibility into Amazon Bedrock usage and performance with Amazon CloudWatch

AWS Machine Learning Blog

As customers look to operationalize these new generative AI applications, they also need prescriptive, out-of-the-box ways to monitor the health and performance of these applications. Shelbee Eigenbrode is a Principal AI and Machine Learning Specialist Solutions Architect at Amazon Web Services (AWS).

DevOps 120
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Designing generative AI workloads for resilience

AWS Machine Learning Blog

She has a diverse background, having worked in many technical disciplines, including software development, agile leadership, and DevOps, and is an advocate for women in tech. Randy has held a variety of positions in the technology space, ranging from software engineering to product management.

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Machine Learning Operations (MLOPs) with Azure Machine Learning

ODSC - Open Data Science

Responsible AI: Though these form part of the regular Azure ML workspace, we now include these components as a step that can be reviewed by a human. This manual step can ensure that the developed model adheres to the responsible AI principles. These include: 1.

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Evaluate conversational AI agents with Amazon Bedrock

AWS Machine Learning Blog

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 through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.