Ambarish Deb - OpenGenus IQ: Computing Expertise & Legacy

Tool to convert Article to summary and audio with translation feature

This article at OpenGenus shall aim to serve as an introduction to a prototype of the Article Convertor, Summarizer and Translator Tool developed by Ambarish Deb for OpenGenus IQ, as part of internship program.

Deep Learning

GPT-3 vs GPT-4

This article at OpenGenus aims to inculcate a basic technical understanding of the differences between GPT-3 and GPT-4.

Deep Learning

OpenAI Codex: A Technical Overview: Model behind LLM

The aim of this article at OpenGenus shall be to facilitate an understanding of the concepts and principles behind the OpenAI Codex, it's applications and it's implementation for use by a layperson.

Deep Learning

Large Language Models (LLM)

This article at OpenGenus will explore the history of large language models (LLM), their underlying concepts, use cases, and real life implementations.

Natural Language Processing (NLP)

Different techniques for Document Similarity in NLP

In Natural Language Processing (NLP), Document Similarity Calculation is a crucial task that involves checking how similar two or more documents are. This article shall focus on its use cases, the concept behind different techniques of document similarity, and their implementations in Python.

Natural Language Processing (NLP)

Paraphrasing in NLP

For this article, our aim would be to analyze different paraphrasing algorithms and their implementation in Python.

Natural Language Processing (NLP)

Sentiment analysis with NLP

Sentiment Analysis is the method of locating and extracting subjective information from text data. It entails determining whether the emotional bias of a text is positive, negative, or neutral by looking at its contents.

Natural Language Processing (NLP)

Stemming in NLP

The aim of this article would be to elaborate upon the third example i.e. Stemming - the concept behind it, it's use cases, suitability and implementation in Python and to provide a basic idea of said topic to the readers.

Natural Language Processing (NLP)

Bag of Words (BoW) in NLP

The Bag of Words technique falls under the category of text representation in NLP, wherein the words are converted to numerical values which can be understood and used by algorithms.

Natural Language Processing (NLP)

Stop Words in NLP

In this article, we shall focus on the concept of stopwords and implementation of stopword removal in NLP.

Natural Language Processing (NLP)

POS Tagging in NLP using Python

POS tagging is a text preprocessing task within the ambit of Natural Language Processing (NLP) whose goal is to analyze the syntactic structure of a given sentence and to understand the input text in a better manner.

Machine Learning (ML)

Association in Unsupervised Learning

An overview of Association and it's implementation using unsupervised learning methods in Python.