In this primer, we will provide an overview of the popular LLM framework LangChain AND get our hands dirty with some code samples on the various core components.
Here is the link to the article on LangChain:
Enjoy 🙂 !!!
Category: Python
Pandas DataFrame Styling
Pandas DataFrame is an Excel like table structure, with rows and columns of data, and is extensively used for slicing and dicing of data for analysis. It provides in-built support for styling so that data can be presented in a more meaningful way.
Here is the link to the article on Pandas DataFrame Styling:
Enjoy 🙂 !!!
Quick Primer on Hugging Face
In this primer, we will provide an overview of the Hugging Face platform as well as get our hands dirty with some code samples on the various text processing tasks.
Here is the link to the article on Hugging Face:
Enjoy 🙂 !!!
Deep Learning – Sequence-to-Sequence Model
In this part of the Deep Learning series, we will introduce the concept of the Sequence-to-Sequence (also known as the Encoder-Decoder) model in the context of a Language Translation use-case. In addition, we will get our hands dirty to demonstrate the translation of English sentences to Spanish sentences. To accomplish this task, we will implement an GRU model using PyTorch.
Here is the link to the article on Deep Learning demonstrating the English-to-Spanish Language Translation using GRU:
Deep Learning – Sequence-to-Sequence Model
Enjoy 🙂 !!!
Deep Learning – Gated Recurrent Unit
In this part of the Deep Learning series, we will explain how a Gated Recurrent Unit (GRU) network works and use PyTorch for a practical demonstration to predict the Next Word.
Here is the link to the article on Deep Learning using GRU:
Deep Learning – Gated Recurrent Unit
Enjoy 🙂 !!!
Deep Learning – Predict Next Word Using LSTM
In this part of the Deep Learning series, we will get our hands dirty to demonstrate the prediction of the ‘Next Word’, given an input sequence of two words from a text corpus. To accomplish this task, we will implement an LSTM model using PyTorch.
Here is the link to the article on Deep Learning demonstrating the ‘next word’ prediction using LSTM:
Deep Learning – Predict Next Word Using LSTM
Enjoy 🙂 !!!
Deep Learning – Bidirectional Recurrent Neural Network
In this part of the Deep Learning series, we will explain how a Bidirectional Recurrent Neural Network (RNN) works and use PyTorch for a practical demonstration of Bidirectional RNN to predict the Sentiments of the Restaurant Reviews.
Here is the link to the article on Deep Learning using Bidirectional RNN:
Deep Learning – Bidirectional Recurrent Neural Network
Enjoy 🙂 !!!
Deep Learning – Word Embeddings with Word2Vec
In this part of the Deep Learning series, we will explain how the Word2Vec model works and creates the word embeddings for a corpus. We will then use the popular Python library called Gensim for a practical demonstration.
Here is the link to the article on Deep Learning that explains and demonstrates Word2Vec:
Deep Learning – Word Embeddings with Word2Vec
Enjoy 🙂 !!!
Deep Learning – Long Short Term Memory
In this part of the Deep Learning series, we will explain how a Long Short Term Memory (LSTM) network works and use PyTorch for a practical demonstration of LSTM to predict the Sentiments of the Restaurant Reviews.
Here is the link to the article on Deep Learning using LSTM:
Deep Learning – Long Short Term Memory
Enjoy 🙂 !!!
Deep Learning – Recurrent Neural Network
In this part of the Deep Learning series, we will explain how a Recurrent Neural Network (RNN) works and use PyTorch for a practical demonstration of RNN to predict the Sentiments of the Restaurant Reviews.
Here is the link to the article on Deep Learning using RNN:
Deep Learning – Recurrent Neural Network
Enjoy 🙂 !!!