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10 edge computing innovators to keep an eye on in 2023

Dataconomy

The strategic value of IoT development and data analytics Sierra Wireless Sierra Wireless , a wireless communications equipment designer and service provider, has been honing its focus on IoT software and managed services following its acquisition of M2M Group, a cluster of companies dedicated to IoT connectivity, in 2020.

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Microsoft Unveils Muse: A Generative AI Model Transforming Game Development

ODSC - Open Data Science

The model is trained on gameplay data from Bleeding Edge, a 2020 multiplayer game developed by NinjaTheory. These resources are available through Azure AIFoundry. The release marks a significant step toward integrating generative AI into game design. Key contributors to the project emphasize the models potential impact.

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A review of purpose-built accelerators for financial services

AWS Machine Learning Blog

The following figure illustrates the idea of a large cluster of GPUs being used for learning, followed by a smaller number for inference. In 2018, other forms of PBAs became available, and by 2020, PBAs were being widely used for parallel problems, such as training of NN.

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Deploying Large NLP Models: Infrastructure Cost Optimization

The MLOps Blog

Even for basic inference on LLM, multiple accelerators or multi-node computing clusters like multiple Kubernetes pods are required. But the issue we found was that MP is efficient in single-node clusters, but in a multi-node setting, the inference isn’t efficient. 2020 or Hoffman et al., For instance, a 1.5B

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5000x Generative AI: Intro, Overview, Models, Prompts, Technology, Tools, Comparisons & the Best…

Mlearning.ai

Traditional AI can recognize, classify, and cluster, but not generate the data it is trained on. Major milestones in the last few years comprised BERT (Google, 2018), GPT-3 (OpenAI, 2020), Dall-E (OpenAI, 2021), Stable Diffusion (Stability AI, LMU Munich, 2022), ChatGPT (OpenAI, 2022). Let’s play the comparison game.

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Techniques for reducing costs in LLM architectures

DagsHub

T5 : T5 stands for Text-to-Text Transfer Transformer, developed by Google in 2020. Microsoft Azure : Azure offers AI model fine-tuning capabilities, with costs associated primarily with computing and storage resources tailored to the scale and complexity of the tasks. CAST AI If you are working on Kubernetes, consider CAST AI.

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What Can AI Teach Us About Data Centers? Part 1: Overview and Technical Considerations

ODSC - Open Data Science

Cloud data centers: These are data centers owned and operated by cloud providers, such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform, and provide a range of services on a pay-as-you-go basis. General availability of Azure OpenAI Service expands access to large advanced AI models with added enterprise benefits, on [link] 4.