LLM

Retrieval Augmented Generation (RAG) Chatbot for 10Q Financial Reports

While Large Language Models (LLMs) are revolutionary, they sometimes get it wrong—like citing varying figures for something as critical as Tesla’s total assets on a given date. In...

Deep Learning

Attention

Attention is the technique through which the model focuses itself on a certain region of the image or on certain words in a sentence just like the same...

Deep Learning

Backpropagation Through Time

In the earlier post The gradient problem in RNN, you came to know that RNNs have exploding and vanishing gradient problems. This post discusses how exactly the gradients...

Deep Learning

Image captioning using encoder-decoder

Note: This post discusses the project I’m doing currently. Check it on kHarshit/image-captioner. The working demo is available on https://imagecaptioner.herokuapp.com.

Deep Learning

The gradient problem in RNN

Much as Convolutional Neural Networks are used to deal with images, the Recurrent Neural Networks are used to process sequential data. The key idea in recurrent neural networks...

Deep Learning

word2vec: The foundation of NLP

Natural Language Processing deals with the task of making computer understand the human language. The computer understands only 0s and 1s. A language consists of words. So, the...