Google AI models – pressnews

Google adds two new AI models to its Gemma family of LLMs – Why this is important

11Apr

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Technology

Google adds two new AI models to its Gemma family of LLMs – Why this is important

[ad_1] In February, Google took the wraps off Gemma, its family of lightweight Large Language Models (LLMs) for open-source developers. Researchers at Google DeepMind developed it intending to assist developers and researchers in building AI responsibly. It has now announced two new additions to Gemma - CodeGemma and RecurrentGemma. With this move, Google DeepMind aims to keep up the pace in the artificial intelligence (AI) race, facing competition from the likes of OpenAI and Microsoft. Also Read: Google Gemini AI images disaster - What really happened with the image generator? While the company has found itself in hot waters over some of the AI capabilities of its most popular AI model, Gemini, it seems that the controversy has not slowed down researchers. These new AI models promise ...

Google to Add AI Models from Meta, Anthropic to Its Cloud Platform

[ad_1] Alphabet Inc.'s Google is adding artificial intelligence tools from companies including Meta Platforms Inc. and Anthropic to its cloud platform, weaving more generative AI into its products and positioning itself as a one-stop shop for cloud customers seeking to tap into the technology. Google's cloud clients will be able to access Meta's Llama 2 large language model, as well as AI startup Anthropic's Claude 2 chatbot, to customize with enterprise data for their own apps and services. The move announced Tuesday at Google's Next '23 event in San Francisco, is part of the company's effort to position its platform as one where customers have the freedom to choose an AI model that best meets their needs, whether from the company itself or one of its partners. More than 100 powerful A...

Google changes privacy policy; everything you post will be used to boost its AI tools

[ad_1] It has already been known that artificial intelligence (AI) models are trained on data sets that allow them to analyze and respond to texts in several contexts as well as languages. For instance, ChatGPT has been trained on a massive text dataset that is available in the public domain. On the other hand, DarKBERT is an LLM that has been trained on a vast dataset of dark web pages, assimilating information from places such as hacker forums, scamming websites, and other criminal internet sources. Since AI tools' hunger for data is insatiable, everything posted online by anyone, is fair game. Making that clear was Google, which has updated its privacy policy, and everything that you post online, could now be used to train its AI tools and models.New privacy policiesGoogle announced ...