DailyPost 1865
MICROSOFT’s AZURE OPEN AI SERVICE
These are transformational applications where AI research is getting wedded to fully commercial leading Cloud platform, with a lot of enablement’s which would have been unimaginable even till a year back. The pace of technology development in the field of Artificial Intelligence and its application with barely any gestation period will slowly become the order of the day. The coming of GPT 3 to enterprise with its fine-tuned derivative Codex through Microsoft’s Azure Open AI Service marks a watershed moment in the development of AI since 1956 and certainly the biggest inflection point in the history of AI. Might be now one can safely say, this is here to stay and every progress henceforth would get consolidated to the already created pathbreaking AI platforms.
What is this service? It would give enterprises access to OpenAI GPT-3 and its derivatives ”along with security, compliance, governance, and other business focused features.” As it starts, it would be a part of Azure Cognitive Services on an Invite Only basis. The service will allow access to OpenAI’s API through the Azure platform. It will be for use cases in the areas of language translation, code generation, and text auto completion. It would help teams brainstorm ideas for social media posts and summarizing common complaints in customer service logs. The developers will be assisted in coding, bringing down the need to stop and search for examples. The power and potential of OpenAI is being discovered.
The business needs can now move into production. Codex has reasonable capability compared to the human intelligence and expertise to handle applications that really require a deep understanding of the language and the capability to translate natural language in software code. Text summarization is another area and it can generate answers to questions. ”People have used it for writing emails and articles automatically and even compose poetry and recipes and create website layouts.” They have used it to create code for deep learning in an unimaginable, a dozen programming languages.
Business and technological requirements are one part, commercial deployment has lots of other requirements. Azure OpenAI Service is a great help in this area. It enables companies to deploy while complying with the laws, regulations and lots of technical requirements, which can just be unique to that particular business or industry. This is a giant leap forward. The data localization, security requirements and centrally managing API endpoints are all taken care of. A recent survey shows that the Natural Language Processing, NLP’s budgets are increasing, overall 10% between 2020 and 2021 and for a one third of them, their spending has climbed by more than 30%. It may beat the computer vision story at its current pace.
AI FOR BUSINESS AND THE WORLD IS SLOWLY BECOMING A REALITY.
Sanjay Sahay