Exploring more capabilities of Google’s pre-trained model BERT (github), we are diving in to check how good it is to find entities from the sentence. What is NER? In any text content, there are some terms that are more informative and unique in context. Named Entity Recognition (NER) also known as information extraction/chunking is the process in […]
When OpenAI published a blog regarding GPT-2, transformer-based language model with 1.5 Billion Parameters, which could generate text as good as humans, it created quite a good amount of buzz in Natural Language Processing community. Though, OpenAI was cautious and didn’t open source the 1.5 Billion parameters model instantly. First they released 117 Million Parameters model, then 345M then […]
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Technology today has reached such a point where it’s obvious not to be impacted by it. Starting from Content writing to Mobile Banking Artificial Intelligence has made a huge impact. Artificial intelligence has turned out to be very useful by providing the machines with the ability to interact or learn about completing the tasks that were previously […]
Speech Recognition is a part of Natural Language Processing which is a subfield of Artificial Intelligence. In Speech Recognition, spoken words/sentences are translated into text by computer. It is also known as Speech to Text (STT). If you are looking to get started with building Speech Recognition / Audio Transcribe in Python then this small […]
