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implementations

Capgemini, Microsoft collaborate for generative AI implementations

Capgemini announced an Azure Intelligent App Factory, developed in collaboration with Microsoft, that aims to empower organisations to scale responsible and sustainable generative AI capabilities for their business. This new co-created solution builds on the company's long standing relationship and will see Capgemini as well as Microsoft combine their industry knowledge, resources and technology.The technologies include Microsoft Cloud, Azure OpenAI Service and Github Copilot, and will help transform business intelligence…

Top 10 Real-Life Blockchain Implementations Beyond Cryptocurrency

Blockchain is not just limited to Cryptocurrency and here is how A new and secure data format is Blockchain Technology in true sense. The technology allows for the transfer of any data or digital asset, including cryptocurrencies like bitcoin. But Blockchain Implementations are beyond cryptocurrency too. And these are real life blockchain implementations. The article enlists Top 10 Real- Life Blockchain Implementations. Digital Identification Microsoft is focusing on developing IDs to empower refugees and the world’s…

DeepSpeed Deep Dive — Model Implementations for Inference (MII) | by Heiko Hotz | Nov, 2022

A closer look at the latest open-source library from DeepSpeedImage by author — created with Stable DiffusionThe DeepSpeed team has recently released a new open-source library called Model Implementation for Inference (MII), aimed towards making low-latency, low-cost inference of powerful models not only feasible but also easily accessible. You can read all about it in their blog post.When I started exploring the MII library I realised there were many references to other DeepSpeed technologies, such as ZeRO-Inference and…

AI as a Service (AIaaS): Unlocking greater productivity and profitability from AI implementations

Learn why enterprises should adopt AI-as-a-Service solutions. Image: peshkova/Adobe Stock For every application available on-premises, it’s almost certain it will also eventually be available as a cloud-based service, delivered on demand, by a cloud service provider. A somewhat recent addition to the growing field of cloud-based services is AI as a Service (AIaaS). With AIaaS, companies can enjoy the benefits of AI without having to make upfront investments in hardware and software. And in the case of…