Generative AI: NLP, Language Models and Microsoft Azure OpenAI Service

Creating new content based on data

Artificial intelligence (AI) is becoming increasingly important for extracting valuable information and insights from growing amounts of data, making well-informed decisions, improving processes and developing innovative products in order to achieve competitive advantages.   

So-called generative AI applications play a significant role in this context – especially language models such as ChatGPT and GPT-4 or AI image generators like DALL-E 2. This whitepaper aims to provide the basics of how generative AI language models work, what they are (currently) capable of and how companies can implement them in their own AI applications. 

The whitepaper addresses questions such as: 

• What are the most important concepts in machine learning? Which role does Natural Language Processing (NLP) play in the context of generative AI? Which applications can benefit from it?
• What impact do Large Language Models (LLMs) such as GPT-3 and GPT-4 have on the development of AI, as well as how versatile they are in terms of tasks and input modalities?
• How can enterprises benefit from Microsoft's Azure AI? What are the opportunities to leverage powerful AI language models such as ChatGPT and GPT-4?
• What steps are necessary to access the Azure OpenAI Service? How can SoftwareOne support you?