Generative AI - a subset of AI

Today’s #generativeAI tools like #ChatGPT have created excitement throughout the industry over new possibilities, but the compute required for its models have put a spotlight on performance, cost, and energy efficiency as top concerns for enterprises today.


As generative AI models get bigger, power efficiency becomes a critical factor in driving productivity with a wide range of complex AI workload functions from data pre-processing to training and inference. Developers need a build-once-and-deploy-everywhere approach with flexible, open, energy efficient and more sustainable solutions that allow all forms of AI, including generative AI, to reach their full potential.

It is unlikely that generative AI will completely obsolete present computing devices. While generative AI has made significant advances in recent years, it still relies on computing devices to operate.

Today's Headline in NewsHours
0:00 Intro
3:38 Pakistan government's Twitter handle withheld in India for the 2nd time in 6 months
4:14 #Apple’s contribution to ‘Make in India’ smartphone reaches 25%
4:44 Intel optimizing open-source frameworks to democratize Generative AI
5:30 #Zoom to bolster its AI-Driven Features along with OpenAI
6:02 #HFCL wins Rs 282.61 cr deal from Gujarat Metro Rail Corporation


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#MachineLearning, #ArtificialIntelligence, #AI, #NeuralNetworks, and #DL

Generative AI - a subset of AI

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