The data used to train Aleph Alpha’s models is stored in Europe and includes a large repository of multilingual public documents published by the European Parliament.
To make the product widely accessible for developers, OpenAI said the new model comes with a more affordable pricing structure than its predecessor GPT-4.
GROK on the Base network has reached a $4.32 million capitalization where it has exceeded $3.5 million in trading volumes in the past 24 hours.
The chatbot currently does not have audio and visual capabilities. xAI stated that these will be added soon to enable broader applications such as real-time interactions and assistance.
Despite the potential negative impacts of AI, Musk also believes that AI would be a force for good and could even serve as a great friend and companion to users.
In addition to the AI generative AI tools, Google has introduced a set of fresh features aimed at supporting and promoting small businesses, providing them with increased visibility in the digital marketplace.
As part of their collaboration, the companies plan to launch AI-powered copilots for industries such as manufacturing, infrastructure, transportation, and healthcare.
Apart from Tongyi Qianwen 2.0, Alibaba has launched eight AI models for the entertainment, finance, healthcare, and legal industries. Among them is the GenAI Service Platform that allows companies to build their own generative AI applications, using their own data.
The deployment of the 24,000 chips should be completed by February 2024.
The G7’s AI Code of Conduct emerges at a time when governments worldwide are grappling with the transformative power of AI.
According to the earnings report, Microsoft’s commitment to AI-driven solutions yielded remarkable results, with the Azure OpenAI Service witnessing a significant rise in its customer base.
The company’s executives stated that it is possible to run such AI models on devices if the chips have enough processing speed and memory.
The upcoming chips will enhance Microsoft’s efforts to help chip companies build Arm-based processors for PCs running on Windows as well as strengthen Nvidia’s position in competing with Apple.
Apple is considering leveraging AI within Xcode to assist app developers in creating their applications.
Hayes predicts that the torrent of money will flow into the hands of technology companies, particularly those in the burgeoning field of AI.