According to McKinsey,1 generative AI will not likely outperform humans anytime this decade. However, we may see a significant leap in generative AI capabilities by 2040. McKinsey expects AI to reach a level where it can compete with the top 25% of human performers across a wide range of t...
You can also see generative AI applications, use cases and real-life examples in a list that you can filter based on various criteria such as business function or industry: Domain*Use CaseDescriptionCompanyReal-life example Video Video Generation Generate videos based on text input or scenarios...
Generative AI examples Generative AI encompasses a wide variety of extensively trained models that researchers from Stanford University have named foundation models. Foundation models are large machine learning models trained using self-supervised learning at scale (use cases of machine learning). The diff...
As seen from above Google Trends graph, interest ingenerative AIexploded since October 2022 thanks to the launch ofChatGPT. Moreover, Gartner predicts that by 2025, the percentage of data generated by generative AI will amount to 10% of all generated data.1 Until 2025, AIMultiple expects this...
Googlehas two large language models, Palm, a multimodal model, and Bard, a pure language model. They are embedding their generative AI technology into their suite of workplace applications, which will immediately get it in the hands of millions of people. ...
Generative AI Examples in Manufacturing In manufacturing, generative AI enhances efficiency, predicts maintenance needs, streamlines design processes, and improves supply chains. Here are some generative AI examples illustrating these applications: Accelerating the Design Process Generative AI helps engineers...
1. Understanding generative AI 1.1. 1. What is generative AI and how does it work? 1.2. 2. Why is generative AI quickly gaining popularity? 1.3. 3. The known risks of generative AI 1.4. 4. The most popular examples of generative AI 2. Key generative AI applications 2.1. 1. Image gen...
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generative AI in learning and education is writing even this chapter. From the depths of neural networks and the vastness of data, generative AI emerges not just as a tool but as a visionary in the field of education. Join us on a journey through eight fascinating examples where AI is not...
Applications by Industry Examples of applications across different fields include the following: Automotive industry: Synthetic data produced by AI can run simulations and train autonomous vehicles. Healthcare and scientific research: Scientists can use AI to model protein sequences, discover new molecules...