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Microsoft-OpenAI Partnership is Everything About GPTs for No-Code DevOps

Microsoft-OpenAI Partnership is Everything About GPTs for No-Code DevOps

Generative Pre-trained Transformer or GPT DevOps has emerged as a disruptive force in the IT industry. Partnerships are key to building new AI models for current and future needs. According to Sam Altman, OpenAI’s partnership with Microsoft is the best in the industry. And, this week, the two companies took huge strides to make their AI technology more accessible and cost-effective for No-code DevOps users.

Let us understand how this partnership could shape the future of AI software development in 2024.

Organizations are building self-powered GPT DevOps architecture with the help of OpenAI’s deep-learning capabilities. Microsoft’s Cloud services support these AI efforts, enabling organizations and partners to monetize AI generation models for personalization, customer success, cyber security, and a hundred other business activities. Next week,  at Microsoft Ignite Conference 2023, the engineering community will witness the transformations built on new-age Artificial Intelligence and Deep Learning technologies, such as ChatGPT. Microsoft Ignite 2023 will unfurl some of the best AI models built in the Generative AI era for GPT DevOps. OpenAI, riding high on the success of ChatGPTs, is expected to come up with new AI models for DevOps engineers and AI architects. One of the key highlights would be the newly-launched GPT-3.5 Turbo. But, the show stopper has to be the upcoming launch of GPT-4 Turbo— the most awaited engineering marvel that could bring No-Code DevOps to every digital native. No formal training is required to generate AI-based codes, images, texts…

PREDICTIONS SERIES 2024 - CIO InfluenceIn addition to countless other updates to generative AI models such as DALL-E 3, and Whisper 3, we could see further integrations of OpenAI GPTs with Azure and GitHub Enterprise. All these would be an extension of what the OpenAI-Microsoft partnership promises to deliver to the global AI engineering communities.

Earlier this week, Microsoft Chairman and CEO Satya Nadella spoke at OpenAI’s first DevDay Conference. Satya mentioned that his organization’s “number one job” now is to build the best systems (AI) and models for the DevOps teams. The products churned from the OpenAI-Microsoft partnership bear testimony to what the next few months could look like for AI builders in the cloud-based DevOps ecosystem.

Additional Features of the OpenAI-Microsoft Partnership

  • Microsoft will support OpenAI’s Custom Models Program for enterprises and startups;
  • Microsoft will support GPT DevOps infrastructure for enterprise needs through Azure OpenAI Service tools and resources;
  • OpenAI and Microsoft will expand generative AI use cases across conversational AI, content moderation, data grounding, and cybersecurity;

Upcoming updates to Turbo models will be available on the Azure OpenAI Service portal by December-end, making it one of the largest AI innovation hubs for open-source DevOps. In addition to these announcements, the OpenAI-Microsoft Partnership also uncovered the lower pricing for DevOps Gen AI users, making GitHub Enterprise available to all DevDay conference in-person attendees to use for free for 90 days.

Importance of AI-based DevSecOps Security in Singaporean Businesses

Currently, GitHub Enterprise is a powerful tool for no-code AI programming and deep learning development with seamless integration with Microsoft’s ecosystem.

In a nutshell

OpenAI’s collaboration with Microsoft is one of the most fruitful associations in the modern engineering era. The companies are willing to focus on GPT DevOps resources to empower every person and every organization to optimize their costs and achieve higher productivity. AI, and therefore automation using machine learning capabilities, could spread the benefits to all parts of society. In 2024, we can expect more partnerships in AI that specifically focus on empowering users and organizations with limitless opportunities to work with generative AI in a no-code DevOps ecosystem.

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