Natural Language Processing | Build LLM Web App | RNN & LSTM

About this course

Recent Updates:

• Nov 2022: Updated videos for RNN and LSTMApr 2023: Added a video lecture on transformers
• Sep 2023: Added a video lecture on how to build an LLM web application

Natural Language Processing (NLP) is a very interesting field associated with AI and is at the forefront of many useful applications like a chatbot. Knowledge of NLP is considered a necessity for those pursuing a career in AI. This course covers both the theory as well as the applications of NLP. Case studies are explained along with a walkthrough of the codes for a better understanding of the subject.

A detailed explanation of how to build a web app for NLP using Streamlit is also explained.

NLP is a subfield of computer science and artificial intelligence concerned with interactions between computers and human (natural) languages. It is used to apply machine learning algorithms to text and speech.

For example, we can use NLP to create systems like speech recognition, document summarization, machine translation, spam detection, named entity recognition, question answering, autocomplete, predictive typing and so on.

Nowadays, most of us have smartphones that have speech recognition. These smartphones use NLP to understand what is said. Also, many people use laptops whose operating system has built-in speech recognition.

Some Examples:1.

Cortana

The Microsoft OS has a virtual assistant called Cortana that can recognize a natural voice. You can use it to set up reminders, open apps, send emails, play games, track flights and packages, check the weather and so on.2.

SiriSiri is a virtual assistant of the

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