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Top Generative Artificial Intelligence AI Courses in 2024

Marktechpost

Introduction to Generative AI Learning Path Specialization This course offers a comprehensive introduction to generative AI, covering large language models (LLMs), their applications, and ethical considerations. The learning path comprises three courses: Generative AI, Large Language Models, and Responsible AI.

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Top Generative Artificial Intelligence AI Courses in 2024

Marktechpost

Introduction to Generative AI Learning Path Specialization This course offers a comprehensive introduction to generative AI, covering large language models (LLMs), their applications, and ethical considerations. The learning path comprises three courses: Generative AI, Large Language Models, and Responsible AI.

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Bria 2.3, Bria 2.2 HD, and Bria 2.3 Fast are now available in Amazon SageMaker JumpStart

AWS Machine Learning Blog

Bria’s commitment to responsible AI and the robust security framework of SageMaker provide enterprises with the full package for data privacy, regulatory compliance, and responsible AI models for commercial use. About the Authors Bar Fingerman is the Head of AI/ML Engineering at Bria.

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Announcing the First Sessions for ODSC East 2024

ODSC - Open Data Science

The AI Paradigm Shift: Under the Hood of a Large Language Models Valentina Alto | Azure Specialist — Data and Artificial Intelligence | Microsoft Develop an understanding of Generative AI and Large Language Models, including the architecture behind them, their functioning, and how to leverage their unique conversational capabilities.

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Import a fine-tuned Meta Llama 3 model for SQL query generation on 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 artificial intelligence (AI) companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API. AI/ML Specialist Solutions Architect working on Amazon Web Services.

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Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

AWS Machine Learning Blog

Use case and model governance plays a crucial role in implementing responsible AI and helps with the reliability, fairness, compliance, and risk management of ML models across use cases in the organization. It also helps achieve data, project, and team isolation while supporting software development lifecycle best practices.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning Blog

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. Learn more about our commitment to Responsible AI and additional responsible AI resources to help our customers.