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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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Using Agents for Amazon Bedrock to interactively generate infrastructure as code

AWS Machine Learning Blog

Agents for Amazon Bedrock automates the prompt engineering and orchestration of user-requested tasks. After being configured, an agent builds the prompt and augments it with your company-specific information to provide responses back to the user in natural language. He holds an MS degree in Computer Science.

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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. We use the few-shot prompting technique by providing a few examples to produce an accurate ASL gloss.

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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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Your guide to generative AI and ML at AWS re:Invent 2024

AWS Machine Learning Blog

The technical sessions covering generative AI are divided into six areas: First, we’ll spotlight Amazon Q , the generative AI-powered assistant transforming software development and enterprise data utilization. Fourth, we’ll address responsible AI, so you can build generative AI applications with responsible and transparent practices.

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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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