The rise of Artificial Intelligence and Machine Learning has significantly influenced how we deal with everyday problems and how different industries function. So many business approaches have been changed after the introduction of AI-enabled solutions, and the content writing industry is also impacted. Writing is not an easy task! Whether you are a freelance writer, […]
Generative Pre-trained Transformer 3 (GPT-3) is an autoregressive language model used for text generation created by OpenAI. GPT-3 showed the amazing potential for a really smart language model to generate text and has the ability to do amazing task such as Question-Answering, Summarization, Semantic Search, Chatbot, Writing poetry, or an essay. Among them, we have […]
Recommendation systems are built to generate recommendations for particular item. On ecommerce websites like Amazon, we get product recommendations and on youtube, we get video recommendations. Nowadays, recommendations systems are being used on many more content rich websites like news, movies, blogs, etc. Here is our own try to create a Natural Language Processing (NLP) […]
Since OpenAI launched GPT-3, we have been seeing numerous applications with various functionalities developed using GPT3. Recently GPT-3 added new feature of Question Answering system which we took for a spin to check how it works. In our experimentation with small data, the system looks pretty promising. It is fetching answers quite accurately from small data. In future, […]
Artificial Intelligence (AI) is undoubtedly the favorite buzzword not only among the tech enthusiasts, but there are a lot of non-technical people who can’t stop gushing about its applications. OpenAI has been a significant contributor when it comes to facilitating a level playing field to several players. We have seen many applications being developed with […]
GPT-3 is a neural network trained by the OpenAI organization with more parameters than earlier generation models. The main difference between GPT-3 and GPT-2, is its size which is 175 billion parameters. It’s the largest language model that was trained on a large dataset. The model responds better to different types of input, such as a […]
Successful brands always focus on delivering the highest customer experience or in other words the certain brands are successful because they always focus on improving customer experience. And to do so, the brand frequently needs to engage in measuring brand perception. Sentimental analysis is the best tool to analyse all reviews to confirm whether customers […]
Introduction Hello folks!!! We are glad to introduce another blog on the NER(Named Entity Recognition). After successful implementation of the model to recognise 22 regular entity types, which you can find here – BERT Based Named Entity Recognition (NER), we are here tried to implement domain-specific NER system. It reduces the labour work to extract the […]
Speech Recognition converts the spoken words/sentences into text. It is also called Speech To Text (STT). In our first part Speech Recognition – Speech to Text in Python using Google API, Wit.AI, IBM, CMUSphinx we have seen some available services and methods to convert speech/audio to text. In this tutorial, we will see how to convert speech […]
After massive popularity of BERT pre-trained model, Google has now come up with another update ELECTRA! As per official blog of Google, Electra is more efficient NLP Model Pre-training method. With this, Google has also open-sourced pre-trained models which can be used to fine-tune further for various Natural Language Processing (NLP) tasks like question and answering and sentiment […]
