The Azure AI extension simplifies building intelligent applications on Azure Database for PostgreSQL from right within the database using SQL. You can call Azure OpenAI to generate LLM based vector embeddings and store those embeddings within native vector types with a single SQL statement. Embeddings open up new scenarios from semantic search to other rich natural language interactions. In addition, you can invoke a variety of Azure AI language services from sentiment analysis to summarization and translation. Invoke real-time predictions calling pre-trained or custom models hosted on Azure ML online inference endpoints to openup real-time scoring scenarios from fraud detection to healthcare predictions and more.
Recente posts
Meest bekeken posts
Podcast: Data sovereignty and what you need to do about it
Source is ComputerWeekly.com
In this podcast, we ask Patrick Smith, EMEA chief technology officer at Pure Storage, about the increased drive towards ensuring data...
Heightened global risk pushes interest in data sovereignty
Source is ComputerWeekly.com
Heightened risk related to data sovereignty is universally acknowledged. Most IT decision makers see that risk increasing as a result of...
Maximizing water recycling in modern data center design
Source is ComputerWeekly.com
Water is the most energy-efficient cooling medium available for data centers. However, like the Earth's land, there is a finite amount...
Microsoft to invest $30bn in expanding its operations and AI infrastructure footprint in UK
Source is ComputerWeekly.com
Microsoft plans to invest $30bn between now and 2028 in building out its artificial intelligence (AI) infrastructure and operations in the...
Government confirms North East as location of second AI growth zone
Source is ComputerWeekly.com
The government has confirmed that two sites in the North East will be the location of the UK’s second artificial intelligence...