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The tsunami of new generative AI product news is showing no signs of letting up: Fresh on the heels of OpenAI’s expansion of Code Interpreter to all ChatGPT Plus users and Anthropic’s announcement of Claude 2, Google is taking the spotlight back with two big AI announcements this week. The first is a massive update to its large language model (LLM) product Bard, enabling users to upload images and have Bard analyze them. The second is the unveiling of Google NotebookLM, an AI-powered note-taking service in limited availability.
Bard goes global and visual
First up, the updates to Bard. For a while after OpenAI released ChatGPT in November 2022, it seemed like Google was racing to play catchup with its AI efforts.
But the annual Google I/O conference in May 2023 changed all that, with CEO Sundar Pichai and other executives and presenters saying the words “generative AI” more than 140 times during the two-hour-long keynote presentation like it was some sort of magical incantation for business success.
Clearly, the search and web giant was wholeheartedly embracing the tech trend that has swept Silicon Valley and the global tech industry. Though Bard has failed to reach the same user numbers as ChatGPT since its wide release at the same I/O event, it has been increasing its numbers more dramatically recently, and the new updates announced today may help further that trend.
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Today, technology giant Google announced two major improvements in its Artificial Intelligence services—Enhanced Bard and revolutionary NotebookLM Service.
Enhanced Bard, a language model, has been developed to improve the accuracy of Google’s machine-learning systems. It is powered by a set of trays containing colored balls which are used to build, integrate, and test new neural networks at a fraction of the cost and time compared to traditional methods. Enhanced Bard has been optimized to increase the accuracy of natural language processing and machine learning tasks.
Google has also announced its revolutionary NotebookLM Service. This service is designed to simplify the process of creating, integrating, and deploying machine learning models. It offers users an easy way to build, validate, and deploy machine learning models to production. It also comes with a variety of features such as automated data pre-processing, feature engineering, scaffolding, hyperparameter optimization, and model exploration.
Google believes that these two services will further automate the development of machine learning models and make it significantly easier for developers to get up to speed. As a result, developers can spend more time developing innovative new applications and discover new insights faster.
These updates show that Google continues to make significant strides in the field of AI. With these advancements, Google expects to revolutionize the way people access and use machine learning technologies.
