In general when performing Question Answering task , we can get answers pertaining to context in which the question was asked. However if we ask more advanced or specific questions to LLMs like COHERE xlarge or google/Flan-t5-xl, these models will not perform well. So in order to to accurately and…

What is a chatbot ? A chatbot is a computer program designed to simulate conversation with human users, especially over the internet. It can be used to answer customer service questions, provide product recommendations, and even automate sales and marketing processes. Here w we attempt to develop a Teaching assistant chatbot which would help students…

Whisper is an automatic speech recognition (ASR) system trained on 680,000 hours of multilingual and multitask supervised data collected…

1. Local Implementation Step 1 : Develop the Machine Learning / Deep Learning Model Locally and prepare an Inference script (app.py)as illustrated below:

Steps to be followed: Creating an EC2 Instance. SSH setup and file transfer Run the app → open in the browser Gunicorn and nginix setup Replacing IP with elastic IP Open SSL setup Creating an EC2 Instance. Go to the search bar in the AWS Management Console and search for EC2 and need to click on running instances…

Sentiment Analysis Sentiment Analysis is an application of Natural Language Processing (NLP) which is used to find the sentiments of users‟ reviews, comments etc. on the internet. Nowadays, social websites like Facebook, Twitter are widely used for posting the users reviews about different things such as movies, news, food, fashion, politics and…

Building Machine Learning models in Jupyter Notebooks is not the end solution for any POC/Project, we need to push it to production to solve real-life problems in real-time. So, the first step is to containerize/package our application so that we can run our application on any cloud platform to get…

Problem Statement Artificial intelligence (AI) is predicted to have profound effects on the future of video capsule endoscopy (VCE) technology. The potential lies in improving anomaly detection while reducing manual labour. …

Problem Statement & Objective Imagine yourself working as a data scientist in an insurance company. Your manager asked you to come up with a data science solution to estimate the medical cost of an individual who has bought health insurance in the institution. …