Tensorflow Lite is a software package that contains tools that allow AI models trained with Tensorflow to run on mobile devices. It is said to be running on over 4 billion devices now. Basically, the trained model is converted to Tensorflow Lite…
Jina, which is open sourced by Jina.AI, is a multimodal data search engine using deep learning technology. Not only does it implement some functions for search, it includes the entire system that can be easily applied to the service, and not only text…
The latest AI technologies based on deep learning are being actively introduced in various fields such as speech recognition, speech synthesis, translation, chatbots, and smart factories, but there are not many cases of full-scale application in the game field yet. A book published by Springer…
DensePhrases is an open domain Q&A technology created by Jinhyuk Lee at Korea University, and was published as a paper titled “Learning Dense Representations of Phrases at Scale”. Here is a link to the paper: Given a question, the best paragraph from Wikipedia's nearly 60 billion paragraphs…
HuggingFace, famous for its integrated natural language processing package, adds speech recognition. The following is the related link: Specifically, Wav2Vec 2.0 developed by Facebook was added, which Wav2Vec 2.0 does unsupervised learning first with a large amount of unlabeled data, and very…
Paperswithcode, which provides information on various papers in the field of AI, linked open source, and SOTA, provides links to over 3,000 useful datasets. Of these, there are 851 data sets for text, limited to Korean…
In Kakao Brain, Pororo, an integrated natural language framework capable of responding to various natural language tasks, has been released as open source. Pororo stands for Platform Of neuRal mOdels for natuRal language prOcessing and you can think of it as a similar purpose to HuggingFace. Pororo...
As the number of parameters of a deep learning model increases significantly, the memory required for training is also increasing. OpenAI's GPT-2 consists of 1.5B parameters, and Google's mT5 also has a number of parameters up to 13B. Also, the number of parameters of OpenAI's GPT-3...
It is true that the field of AI has made a lot of progress, but there are still many shortcomings compared to humans. If the final goal of AI is to mimic all the functions the human brain performs, the human brain can perform…
