Microsoft Unveils Preview of Vector Search and Rolls Out Voice Cloning for General Use
July 18 2023
Microsoft has unveiled new AI features for Azure at its annual Inspire conference. The notable addition is Vector Search, a machine learning tool that converts images and text into vectors, or sequences of numbers, to facilitate faster searching and understands the context of unstructured data. The technology can be used in apps and services to produce personalised responses, recommend products, and identify data patterns. Microsoft is also launching Document Generative AI, a solution that processes files for summarization, value extraction, knowledge mining and document generation. Other releases include the Whisper automatic speech recognition model from OpenAI, the public preview of Real-time Diarization, and the full release of the Custom Neural Voice service.
Back to Breaking AI News
What does it mean?
- Vector Search: This is a machine learning tool that transforms images and texts into vectors (sequences of numbers) to make searching faster and understanding the context of unstructured data easier.
- Unstructured data: This refers to information that either does not have a predefined data model or is not organized in a pre-defined manner. Unstructured information is typically text-heavy, but may contain data such as dates, numbers, and facts.
- Real-time Diarization: This term refers to the process of keeping a record of who spoke when in a multi-party conversation. It's often used to transcribe and attribute spoken words in audio data.