Artificial intelligence has advanced many of our technological needs and ensured success in many others that are highly satisfying to the user. With its invention in the early years, many technological institutions and company have sought to use it for different technological purposes. This can be associated with its effectiveness, efficiency and higher accuracy and speed especially if used to design the different features on technological devices that promote ease of use. Similar to other companies, Facebook a social media company hasn’t been left behind. Its artificial intelligence research lab developed the FastText feature and are currently being said to update it to a new level of functionality. Furthermore, the update claims to reduce the memory requirements and the FastText feature’s model size.
FastText
It is a library that is openly sourced and fast in terms of speed used for text classifications. The library main function is to make it easier for the different developers to develop and come up with new and improved analytical tools especially in reference to language analysis. The feature is highly efficient and is able to ensure the text or content sent to you as an individual is well understood and clear. Furthermore, it redefines the language by classifying and filtering the message or text to ensure the proper understanding of the feature is achieved in at the very end. E.g. if you need you feature to identify and limit your access to enticing but worthless headlines intended as baits or filter information coming into your preferred priorities, then it does this by understanding the language being used and identifying the best suitable or required language for that specific case.
FastText Language Support
At first, the FastText library feature was designed to support around 90 languages. This included word vectors and other elements of language that can be observed or seen. The update by the researchers was aimed at improving the language base to accommodate many others around the world. The success achieved was enormous as these were not only doubled but tripled to around 294 language capability and support. With such success, more is expected and the advancement has made the FastText library feature more in demand.
Size or Memory Space
Similar to many applications with advanced functionalities that include speed and accuracy of content created, the FastText library designed consumed a lot of space making it unsuitable for use on mobile phones. This is because it required different hardware capabilities in order to run the library smoothly and without kinks, which are not available or adequate or a mobile phone. According to Facebook, that is about to change with the update. They are saying that they have reduced the memory capacity required to run the library fast and efficiently and without affecting accuracy rates to hundreds of kilobytes from GBs. They claim this was possible after optimizing comparisons of the different vectors, which in turn led to memory reduction.
Possibility of the Reduction
Facebook’s, of course, prides itself in its capabilities. Such a reduction in the FastText library feature model size and memory space is a huge leap and a success at all levels. It can be difficult to imagine its possibility as it has drastically been cut down from gigabyte to kilobytes. The most expected change would be said to be from gigabytes to megabytes before reaching the kilobytes. However, they claim that they pruned the feature, quantized it and retrained in reference to the library’s use. These ingredients as they refer to them are the base that made the successful memory cut and model size to be reduced. In fact, they say that you can now develop content or texts that are less than a hundred kilobytes with any of the famous FastText library datasets. Furthermore, the feature does not sacrifice any of the major hits with the library feature namely speed and accuracy levels.
tunity for new prospects, advancements, and reinventions. Similarly, Facebook researchers claim that there is still room for further improvements in the coming years. They claim that the memory prospects and requirements should ease more and are seeing a way through into that specific future. However, they do seem to agree with maintaining the current features such as accuracy as fundamental. This means that the process may take longer from realization and the researchers may be required to take another approach to achieve such a development. Many of the users and developers are also looking forward to such a reduction while enjoying the FastText library feature from Facebook presently.
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Conclusion
Mobile phones have become the main technology at an individual’s reach and compatibility or simplicity of use means higher success for any technological enterprise. Facebook has now made it possible for you as a phone user to access its FastText library on your smartphone or mobile device. This has been made possible through the extensive reduction in model size. Do not worry because the reduction does not affect other functionalities which are maintained at par and ensured.
