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From Generative to Agentic AI, Wrapping the Year’s AI Advancements

NVIDIA

Introducing RTX-Accelerated Partner Applications AI is being incorporated into more and more apps and use cases, including games, content creation apps, software development and productivity tools. This local setup offers fast, responsive AI performance while keeping user data private without relying on the cloud.

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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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Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companion

Flipboard

Through advanced data analytics, software, scientific research, and deep industry knowledge, Verisk helps build global resilience across individuals, communities, and businesses. In addition to optimizing performance and cost, Verisk also focused on developing a modular, reusable architecture for their generative AI solution.

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Automate building guardrails for Amazon Bedrock using test-driven development

AWS Machine Learning Blog

This is where the concept of guardrails comes into play, providing a comprehensive framework for implementing governance and control measures with safeguards customized to your application requirements and responsible AI policies. TDD is a software development methodology that emphasizes writing tests before implementing actual code.

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Principal Financial Group uses QnABot on AWS and Amazon Q Business to enhance workforce productivity with generative AI

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, Mistral AI, 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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From Lab to Market: Why Cutting-Edge AI Models Are Not Reaching Businesses

Unite.AI

Implementing AI successfully requires expertise in data science, machine learning, and software development. Concerns around data privacy, bias in AI models, and accountability for automated decisions create hesitation, particularly in industries like finance and healthcare.

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5 Best Large Language Models (LLMs) (September 2024)

Unite.AI

Advanced Code Generation and Analysis: The models excel at coding tasks, making them valuable tools for software development and data science. xAI has not publicly detailed specific safety measures implemented in Grok-2, leading to discussions about responsible AI development and deployment.