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10 things to watch out for with open source gen AI

CIO Business Intelligence

Even if you don’t have the training data or programming chops, you can take your favorite open source model, tweak it, and release it under a new name. According to Stanford’s AI Index Report, released in April, 149 foundation models were released in 2023, two-thirds of them open source.

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Uber releases Ludwig, an open source AI ‘toolbox’ built on top of TensorFlow

CTOvision

Want to dive earnestly into artificial intelligence (AI) development, but find the programming piece of it intimidating? The ride-hailing giant today debuted Ludwig, an open source “toolbox” built on top of Google’s TensorFlow framework that allows users to train and test AI models without having to write […].

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AI2 and Microsoft use satellite images plus artificial intelligence to monitor the planet

GeekWire

(AI2 / Satlas Image) Geospatial data analysis promises to revolutionize the way agriculture, urban planning and disaster relief is done — and thanks to a variety of projects that make use of artificial intelligence, Microsoft and Seattle’s Allen Institute for AI are part of that revolution. Training the model was no easy task.

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Creating an artificial intelligence 101

Dataconomy

How to create an artificial intelligence? The creation of artificial intelligence (AI) has long been a dream of scientists, engineers, and innovators. Understanding artificial intelligence Before diving into the process of creating AI, it is important to understand the key concepts and types of AI.

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How leadership can empower developers in the AI era

CIO Business Intelligence

Imposter syndrome—doubting your abilities to the point that you feel like a fraud—is an evergreen topic of conversation among software developers. In this moment, how can tech leaders empower their developers? For many devs, the explosion of GenAI and AI-powered coding tools makes feeling like an imposter more inevitable than ever.

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Gen AI without the risks

CIO Business Intelligence

Developing and deploying successful AI can be an expensive process with a high risk of failure. So, does every enterprise need to build a dedicated AI development team and a supercomputer to train their own AI models? Here are six tips for developing and deploying AI without huge investments in expert staff or exotic hardware.

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Know before you go: 6 lessons for enterprise GenAI adoption

CIO Business Intelligence

Given the importance of being able to control data access and respect privacy and regulatory concerns while harnessing GenAI’s tremendous potential, Dell Technologies and Intel have been investigating GenAI implementations, open-source models, and alternatives to trillion-plus parameter models. million in compute alone 2.