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Highlighting Microsoft’s Data Science and AI Learning Paths

ODSC - Open Data Science

Work with Generative Artificial Intelligence (AI) Models in Azure Machine Learning The purpose of this course is to give you hands-on practice with Generative AI models.

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Designing generative AI workloads for resilience

AWS Machine Learning Blog

Make sure to validate prompt input data and prompt input size for allocated character limits that are defined by your model. If you’re performing prompt engineering, you should persist your prompts to a reliable data store.

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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.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

The platform also offers features for hyperparameter optimization, automating model training workflows, model management, prompt engineering, and no-code ML app development. MLOps tools and platforms FAQ What devops tools are used in machine learning in 20233?

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Operationalize LLM Evaluation at Scale using Amazon SageMaker Clarify and MLOps services

AWS Machine Learning Blog

An evaluation is a task used to measure the quality and responsibility of output of an LLM or generative AI service. Furthermore, evaluating LLMs can also help mitigating security risks, particularly in the context of prompt data tampering. Jagdeep Singh Soni is a Senior Partner Solutions Architect at AWS based in Netherlands.

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