news
Gemini Live, a voice-based function that enables users to have organic conversations with the chatbot, will be available in the new Gemini app.
Google, a division of Alphabet, released a smartphone app for its AI chatbot on Thursday, bringing the most recent version of its voice assistant to the widely used mobile operating system through Apple’s App Store.
Gemini Live, a voice-based function that enables users to have organic conversations with the chatbot, will be available in the new Gemini app. Apple has previously stated that it will integrate ChatGPT from OpenAI into an updated Siri voice assistant.
In a statement, Google senior director of product management Brian Marquardt said, “It is great for when you want to practice for an upcoming interview, ask for advice on things to do in a new city, or brainstorm and develop creative ideas.”
Google’s response to ChatGPT, the well-known app created by OpenAI that is backed by Microsoft, is called Gemini. Under the name Bard, Google first released it in February 2023. Since then, it has weathered controversies and added more features.
Google first implemented the voice feature on phones running Android, its proprietary mobile operating system, after announcing it at an event in August.
Large language models have sparked technological advancements in AI, leading to the development of a new generation of voice assistants that are far more powerful than Google Assistant, Apple’s Siri, and Amazon’s Alexa.
Google’s Gemini Live has supplanted Assistant, an AI product developed eight years ago with antiquated technology.
The Voice Assistant team laid off hundreds of workers in January as part of a reorganisation to “become more efficient,” according to a company spokesperson at the time.
Since then, Google has further consolidated. In an effort to increase efficiency, CEO Sundar Pichai last month merged the Gemini app team into DeepMind, its AI research lab.
According to a Reuters story this week, DeepMind is one of the research institutions using novel methods to enhance AI models since the conventional strategy of creating ever-larger models has encountered unforeseen setbacks and difficulties.