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How to become an AI Architect?

Pickl AI

Companies are actively deploying AI technologies to run their businesses smoothly. At the same time, they are also actively hiring professionals with AI expertise. Hence, AI architect skills are in great demand. The salary of an Artificial Intelligence Architect in India ranges between ₹ 18.0 from 2023 to 2030.

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The hidden costs of AI: How generative models are reshaping corporate budgets

IBM Journey to AI blog

As Dencik points out, “Even if something is technically feasible to do with AI, if the business case doesn’t stack up because of the cost of computing or the cost of training these models, then we’re not going to see the impact of AI on business activity that many people anticipate.”

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The Evolving Landscape of Generative AI: A Survey of Mixture of Experts, Multimodality, and the Quest for AGI

Unite.AI

However, realizing the potential of multimodal AI necessitates overcoming key technical hurdles and ethical challenges. Gemini: Redefining Benchmarks in Multimodality Gemini is a multimodal conversational AI, architected to understand connections between text, images, audio, and video.

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Saving Green: Accelerated Analytics Cuts Costs and Carbon

NVIDIA

“It was a ‘wow’ moment because on CPU clusters, it takes more than 48 hours to process just seven days of data — in the past, we had the data but couldn’t use it because it took such a long time to process it,” said Abhay Dabholkar, an AI architect at AT&T, in a blog. “We

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Create a Generative AI Gateway to allow secure and compliant consumption of foundation models

AWS Machine Learning Blog

After passing the initial checks mentioned earlier, the endpoint registry holds the necessary information about these models from vendors and their versions exposed via APIs. When not shaping the future of AI, he explores the scenic European landscapes and delicious cuisines.

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Blockchain and AI Integration : Can These Technologies Work Together?

Pickl AI

Numerai (NMR) A crowd-sourced hedge fund that utilizes Blockchain and AI to incentivize data scientists to build predictive models on encrypted data, allowing them to compete for rewards. Decentralized AI AI models can be resource-intensive, requiring significant computing power and storage.