Google has recently launched Gemini, its most powerful generative AI software model to date.
Since the model is designed in three different sizes, Gemini may be utilized in a variety of settings, including mobile devices and data centres.
Google has been working on the development of the Gemini large language model for the past eight months and just recently provided access to its early versions to a small group of companies.
This LLM is believed to be giving head-to-head competition to other LLMs like Meta's Llama 2 and OpenAI's GPT-4.
The AI model is designed to operate on various formats, be it text, image or video, making the feature one of the most significant algorithms in Google's history.
The new LLM, also known as a multimodal model, is capable of various methods of input, like audio, video, and images.
Traditionally, multimodal model creation involves training discrete parts for several modalities and then piecing them together.
Google also unveiled the Cloud TPU v5p, its most potent ASIC chip, in tandem with the launch.
This chip was created expressly to meet the enormous processing demands of artificial intelligence.
According to the company, the new processor can train LLMs 2.8 times faster than Google's prior TPU v4.
For ChatGPT and Bard, two examples of generative AI chatbots, LLMs are the algorithmic platforms.
The Cloud TPU v5e, which touted 2.3 times the price performance over the previous generation TPU v4, was made generally available by Google earlier last year.
The TPU v5p is significantly faster than the v4, but it costs three and a half times as much.
Google's new Gemini LLM is now available in some of Google's core products.
Google's Bard chatbot is using a version of Gemini Pro for advanced reasoning, planning, and understanding.
Developers and enterprise customers can use the Gemini API in Vertex AI or Google AI Studio, the company's free web-based development tool, to access Gemini Pro as of December 13.
Further improvements to Gemini Ultra, including thorough security and trust assessments, led Google to announce that it will be made available to a limited number of users in early 2024, ahead of developers and business clients.
This Cyber News was published on www.cysecurity.news. Publication date: Sat, 09 Dec 2023 16:43:04 +0000