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Google Bard vs ChatGPT the Verdict – IoEBusiness.com
Google and it's very own version of Chatbot Bard is soon to be released to the public. Recently Google AI engineers stated that it's opening up access to Bard, the Google's very own AI-powered chatbot that's a rival to services released by competitor Microsoft and it's OpenAI. Google is starting with users in the US and UK, who can go to the Bard site to sign up for the waiting list. "We've learned a lot so far by testing Bard, and the next critical step in improving it is to get feedback from more people," stated Google's Sissie Hsiao and Eli Collins. Google has announced Bard and the company went into "code red" following the release of the OpenAI's ChatGPT late last year to garner it's own AI Chat.
The Importance of Neural Networks & Machine Learning – IoEBusiness.com
The performance of ML models i.e deep learning neural network models depends on the volume and variation of data. Thus, large datasets are crucial for the training of the neural network models to achieve the accuracy expected in the production-ready model. For example, you have a small quantity of the dataset available which is not enough to train a model, and you don't know how to generate a sufficient dataset with desired data variations. That is exactly what'data augmentation' helps to achieve. Data Augmentation is a technique to artificially increase the volume of a dataset by adding variations to the existing dataset and adding it to the original dataset to generate'slightly modified and multiplied' data.
The Application of Machine Learning – IoEBusiness.com
Rapidly rising demand for Internet connectivity has put a strain on improving network infrastructure, performance and other critical parameters. Network administrators have to encounter different types of network running multiple network applications. Each network application has its own set of features and performance parameters that may change dynamically. Because of the diversity and complexity of networks, conventional algorithms or hard-coded techniques built for such network scenarios is a challenging task. Machine learning is proven to be beneficial in almost every industry so in the networking industry.