LLMOps Success Stories: Real-World Impact


AI has repeatedly accelerated business growth by improving operations, personalising customer interactions, and launching new goods and services

Generative AI and foundation model shifts in the last year are accelerating AI adoption in organisations as they see Azure OpenAI Service’s potential

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Azure AI has several features to support healthy LLMOps before the name was coined, drawing on its MLOps platform roots For more details visit our website govindhtech.com

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Microsoft launched this new blog series on LLMOps for foundation models to share our learnings with the industry and explore its implications for organisations worldwide

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The series will explore what makes generative AI distinctive, how it may solve business problems, and how it encourages new types of teamwork to build the next generation of apps and services

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Customers who started with MLOps will realise that MLOps practises prepare them for LLMOps

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LLMs are non-deterministic, so Microsoft must work with them differently than typical ML models

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A data scientist today may define weights, regulate training and testing data, spot biases using the Azure Machine Learning responsible AI dashboard, and monitor the model in production

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Azure AI has a large model catalogue of foundation models, including Meta’s Llama 2, Falcon, and Stable Diffusion, in addition to OpenAI frontier models like GPT-4 and DALL-E

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