I'm currently a Lead Machine learning research engineer at Saama building NLP/Deep learning products to accelerate clinical trials and time to market of drugs. I am also a Mentor at Springboard, helping future Machine learning engineers and Data scientists in the weekends.
When I'm not in front of a computer screen, I'm probably playing badminton, photographing, or reading a book.
A large-scale (194k), Multiple-Choice Question Answering (MCQA) dataset designed to address realworld medical entrance exam questions.
A 15.5B StarCoder is a language model (LM) trained on source code and natural language text
A 1.1B parameter models for Java, JavaScript, and Python code generation
The intent of this article is to introduce you to a simple active learning method called ‘Uncertainty sampling with entropy’ and demonstrate its usefulness with an example.
An attempt to understand features and patterns learnt by a Fine-tuned BERT model
Article exploring visual intuition of bayes rule.
Article featured in Becominghuman.ai on using a language identifcation model.
Article briefing common mistakes that are to be avoided in a tensorflow model.
Article describing a workaround solution to return binary data from lambda service.
we will explore the latest breakthroughs and discuss how LLMs can be used to solve complex problems that require reasoning and planning. By unlocking these capabilities, LLMs can be used to build sophisticated chatbots, intelligent assistants, and other NLP applications-
This hack session would include the techniques that can be used to interpret the decisions of RNNs, LSTMs and Transformer models.
A talk focussing on the realities of ML and its biases. Cutting through the hype
A talk and Demo on how to get started in ML and build a quick prototype.
A library to synthesize text datasets using Large Language Models (LLM)
A very light weight but accurate API for language identificaiton that Detects 170 + natural languages , hosted on Aws Lambda and published on Rapid API Marketplace
A framework for the evaluation of autoregressive code generation language models.
A library to synthesize text datasets using Large Language Models (LLM)
A scaffolding for keras and tensorflow with some callbacks , metrics and logs inbuilt.
A Repo to elaborate on two of my many attempts at solving Quora Insincere Questions Classification competition