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Active learning is the future of generative AI: Here’s how to leverage it

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These advancements in generative AI offer further evidence that we’re on the precipice of an AI revolution. However, most of these generative AI models are foundational models: high-capacity, unsupervised learning systems that train on vast amounts of data and take millions of dollars of processing power to do it.

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Top 5 Generative AI Integration Companies to drive Customer Support in 2023

Chatbots Life

Generative AI integration service : proposes to deliver ChatGPT-4 enabled application on demand. Deeper Insights Year Founded : 2014 HQ : London, UK Team Size : 11–50 employees Clients : Smith and Nephew, Deloitte, Breast Cancer Now, IAC, Jones Lang-Lasalle, Revival Health.

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Prioritizing employee well-being: An innovative approach with generative AI and Amazon SageMaker Canvas

AWS Machine Learning Blog

Import the dataset into SageMaker Canvas In SageMaker Canvas, you can see quick actions to get started building and using ML and generative artificial intelligence (AI) models, with a no code platform. Feel free to explore any of the out-of-the-box models. We start from creating a data flow.

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How Krikey AI harnessed the power of Amazon SageMaker Ground Truth to accelerate generative AI development

AWS Machine Learning Blog

At the core of Krikey AI’s offering is their powerful foundation model trained to understand human motion and translate text descriptions into realistic 3D character animations. However, building such a sophisticated artificial intelligence (AI) model requires tremendous amounts of high-quality training data.

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Nora Petrova, Machine Learning Engineer & AI Consultant at Prolific – Interview Series

Unite.AI

Nora Petrova, is a Machine Learning Engineer & AI Consultant at Prolific. What got you interested in AI? My role at Prolific is split between being an advisor regarding AI use cases and opportunities, and being a more hands-on ML Engineer.

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The 11 Top AI Influencers to Watch in 2024 (Guide)

Viso.ai

As we go down the list, we discuss the key contributions of every AI influencer. Each of these individuals serves as an inspiration for aspiring AI and ML engineers breaking into the field. His invention of Generative Adversarial Networks (GANs) in 2014 profoundly impacted the world of AI.