AI-Generated post 4 min to read
Generative AI with OpenAI and Microsoft Azure
Unleashing Limitless Potential of Intelligent Content Generation with OpenAI and Microsoft Azure.
WIP - This is work in progress, stay tuned!
Microsoft Azure AI Services is a suite of cloud-based AI services that can be used to build and deploy AI applications. The services include various tools for natural language processing, computer vision, machine learning, and more.
Azure OpenAI Service is a specific service within Azure AI Services that provides access to OpenAI’s large language models. These models can be used for various tasks, such as text generation, translation, summarization, and question-answering.
Various copilots that use Azure AI Services and Azure OpenAI Service are under development. These copilots are designed to help developers with coding, writing, and researching tasks. For example, GitHub Copilot is a copilot that uses OpenAI’s GPT-3 language model to suggest code completions.
Azure AI Services, Azure OpenAI Service, and various copilots are all part of the growing field of artificial intelligence. These tools make it easier for developers to build and deploy AI applications and open up new possibilities for AI in the enterprise and beyond.
Here are some specific examples of how Azure AI Services, Azure OpenAI Service, and various copilots can be used:
Azure AI Services can be used to build a chatbot that can answer customer questions, generate marketing copy, or even write code. Azure OpenAI Service can be used to create a new type of content generation tool that is more creative and informative than traditional content generation tools. Various copilots can help developers with coding, writing, and researching tasks.
These are just a few examples of how Azure AI Services, Azure OpenAI Service, and various copilots can be used. As these tools develop, they will become even more powerful and versatile.
- Text-to-Text (T2T): Microsoft Translator offers real-time translation and transcription services. Microsoft Translator
- Text-to-Audio (T2A): Azure Cognitive Services Text to Speech converts text into natural-sounding speech. Azure Text to Speech
- Audio-to-Text (A2T): Azure Speech to Text transcribes audio-to-text with customization options. Azure Speech to Text
A few examples from Bing are Bing Chat and Image Creator, powered by OpenAI models.
OpenAI API, Azure OpenAI Service, PaLM API, Google Cloud Vertex AI, and Meta LLaMA-2
To get started on Text Generation in OpenAI, you can check out how to do this in OpenAI Python SDK, LangChain, and Semantic Kernel, and it covers using Azure OpenAI Service or OpenAI API.
- Text Completion covers text generation via OpenAI Python SDK
- Text Completion via LangChain covers OpenAI, Azure OpenAI Service
- Text Completion via Semantic Kernel covers OpenAI and Azure OpenAI Service
To get started on Image Generation in OpenAI, you can check out how to do this in OpenAI Python SDK.
- Text to Image via OpenAI Python SDK covers DALL-E 2
Image-to-Image or Image variations
- Image to Image via OpenAI Python SDK covers DALL-E 2
More comprehensive demos are available on
- Introducing ChatGPT on Azure OpenAI Service
- Getting Started with Azure AI Studio’s Prompt Flow
- Microsoft-Responsible AI Support for Image and Text Models
- Microsoft Responsible AI Toolbox
- Responsible AI Dashboard blog
- Take a Tour: Responsible AI Toolbox
- Azure OpenAI with Power Platform: Unleashing Citizen Developers’ Potential
- Introducing Semantic Kernel: Building AI-Based Apps
- Semantic Kernel: What It Is and Why It Matters
- Chat + Your Data + Plugins
- Azure OpenAI: Generative AI Models and How to Use Them
- Scale generative AI with new Azure AI infrastructure advancements and availability
- Career Essentials in Generative AI by Microsoft and LinkedIn
- CoDi: Any-to-Any Generation via Composable Diffusion
- Orca: Progressive Learning from Complex Explanation Traces of GPT-4
- SpeechX: Neural Codec Language Model as a Versatile Speech Transformer
- Azure AI Language Studio Summarize information tryout
- Welcoming the generative AI era with Microsoft Azure
- Intelligent Apps Generative AI capabilities with Azure Kubernetes Service (AKS)
- Dynamic Sqlite queries with OpenAI chat functions
- OpenAI tokens and limits
- Building your own DB Copilot for Azure SQL with Azure OpenAI GPT-4-
- Prompt engineering tips
- Microsoft’s Satya Nadella is winning Big Tech’s AI war. Here’s how
- Generative AI and prompting 101
- Prompt Engineering Guide
- Microsoft Learn - Prompt engineering techniques
- ReAct: Synergizing Reasoning and Acting in Language Models
- LLMs that Reason and Act
- GitHub - A developer’s guide to prompt engineering and LLMs
- Tips for Taking Advantage of Open Large Language Models
- GPT-2 Output Detector https://openai-openai-detector.hf.space
- AI Content Detector - writer.com https://writer.com/ai-content-detector
- AI DETECTOR - content at scale https://contentatscale.ai/ai-content-detector
- GPT-3 Demo - Use cases https://gpt3demo.com
- GPTZero https://gptzero.me
- Tokenizer https://platform.openai.com/tokenizer
- Playground https://platform.openai.com/playground
- DALL-E https://labs.openai.com
- OpenAI ChatGPT & GPT-3 API pricing calculator https://gptforwork.com/tools/openai-chatgpt-api-pricing-calculator
- OpenAI Pricing & Tokens Calculator https://www.gptcostcalculator.com
- OpenAI Cookbook https://github.com/openai/openai-cookbook
- Azure Open AI (demos, documentation, accelerators) by Serge Retkowsky https://github.com/retkowsky/Azure-OpenAI-demos
If you wish to delve into GenAI, read Enter the world of Generative AI
Also, you can look at this blog post series from various sources.
Stay tuned! on Generative AI Blog Series
This post is generated from Web-scraping using Scrapy or Beautiful Soup, summarized and elaborated by OpenAI API and WebPilot. All content is reviewed for correctness before being published.