Chapter 9: OpenAI and ChatGPT for Enterprises Introducing Azure OpenAI Modern Generative AI with ChatGPT and OpenAI Models Book

Exela Technologies Leverages Generative AI with Microsoft Azure OpenAI Service

The new service will allow government departments to adapt models including GPT-3 and GPT-4 for specific tasks, including content generation, summarization, semantic search, and natural language-to-code translation. Microsoft Azure OpenAI Service — the creator of this Bubble plugin — makes it possible for businesses to leverage OpenAI’s powerful language models, including GPT-3.5-Turbo and ChatGPT, via the Azure OpenAI Service API. These models are perfect for content generation, summarization, semantic search, and a growing array of other language-based tasks. If you’ve used ChatGPT at all, you know how easy it is to adapt the technology to a wide variety of personal and business uses. A rich suite of enterprise-ready use cases are available to demonstrate the business value of generative AI.

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Different models are optimized for different tasks; some models excel at summarization and providing general unstructured responses, and others are built to generate code or unique images from text input. When making business decisions about what type of model to use, it’s important to understand how Yakov Livshits time and compute needs factor into machine learning training. In order to produce an effective machine learning model, the model needs to be trained with a substantial amount of cleaned data. The ‘learning’ portion of training requires a computer to identify an algorithm that best fits the data.

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«We have the most powerful AI infrastructure and it’s being used by our partner, OpenAI, as well as NVIDIA and leading AI start-ups like Adept and Inflection to train large models. The Azure OpenAI Service can be accessed using REST APIs, Python SDK, or Microsoft’s web-based Yakov Livshits interface in the Azure AI Studio, and all Azure Government customers and partners will be able to access all models. The robustness, flexibility, and convenience of Azure will also enable it to compete against open-source and commercial alternatives that are emerging.

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This plugin lets you take advantage of Microsoft’s Azure OpenAI Service Completions API to develop chatbots, build productivity tools, and create personalized content on the fly without needing any coding experience. The Azure OpenAI Service Bubble plugin adds the magic of no-code into the mix, eliminating the need to rely on the API Connector. That makes it perfect for both non-technical and technical users alike, so you can bring your company’s AI app to life with a top-notch front-end experience built in Bubble.

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This feature’s unique natural language processing allows for immediate and tailored responses based on simple user inputs. For example, when a user inputs «I want to eat something warm,» the system swiftly suggests a wide range of warm meal recipes, providing comfort food ideas for winter or refreshing recipes for summer, making it an ever-present source of culinary inspiration. A sample use case would be artistic image generation for advertising campaigns, which Yakov Livshits can create images from descriptive prompts of desired visuals or concepts. As an improved version of GPT-3, GPT-3.5 offers enhanced capabilities in understanding and generating natural language or code. Among the GPT-3.5 family, GPT-3.5 Turbo stands out as a capable and cost-effective choice. You will need an Azure subscription that has been approved for access to the Azure OpenAI service for both text and code models, and DALL-E image generation models.

Yakov Livshits
Founder of the DevEducation project
A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.

azure generative ai

Generative AI has made significant strides in recent years, leading to applications that were once considered science fiction. However, it also raises ethical concerns, particularly related to the generation of fake content and the potential for misuse. Researchers and developers are actively addressing these concerns while pushing the boundaries of what generative AI can achieve.

Responsible AI principles guide Microsoft’s Transparency Notes on Azure OpenAI, as well as explanations of other products. Image variations can be created by providing an image and specifying how many variations of the image you would like. The general content of the image will stay the same, but aspects will be adjusted such as where subjects are located or looking, background scene, and colors may change. For example, given the prompt “an elephant standing with a burger on top, style digital art”, the model generates digital art images depicting exactly what is asked for. In the Completions playground, you can type in prompts, configure parameters, and see responses without having to code. We won’t go into custom models here, but you can learn more on the fine-tuning your model Azure documentation.

Azure OpenAI Service may be more beneficial for use-cases that require highly customized generative models, or for exploratory research. In particular, there are several overlapping capabilities between Azure AI Language service and Azure OpenAI Service, such as translation, sentiment analysis, and keyword extraction. The service combines Azure’s enterprise-grade capabilities with OpenAI’s generative AI model capabilities.

Capgemini and Microsoft are already working with a number of clients in this space, including leading organizations in the Consumer Products, Life Sciences and Energy industries, helping them to maximize their AI investments. «Microsoft has arrived at an advantageous position,» said Dan Newman, chief analyst at Futurum Research and CEO of The Futurum Group. «With new AI services, the implementation of ChatGPT [and] a sizeable investment in OpenAI, the company is moving fast — and with likely more announcements next week [at Nvidia’s GTC conference].» But while Nvidia partners with Microsoft, the chip giant also partners with Microsoft’s largest competitors, including AWS and Google, in putting together their respective AI supercomputers.

azure generative ai

Generative AI is a fast-evolving field of artificial intelligence, and the Azure OpenAI service is subject to frequent changes. The official AI-050T00 course materials are maintained to reflect the latest version of the Azure OpenAI service. If you would like to study and prepare for this course with Microsoft MCT  instructor-led virtual training, you can contact me here.

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