Language Models (LMs) have revolutionized natural language processing tasks such as text generation and completion. LMs like GPT-3 (Generative Pre-trained Transformer 3) have achieved remarkable results in generating coherent and contextually accurate text. One of the popular approaches to building LMs is using the concept of Long Short-Term Memory (LSTM) Continue Reading
“Machine Learning”
How to Use SciPy for Scientific Computing in Python
Introduction Scientific computing is an essential aspect of many scientific and engineering disciplines. It involves the use of computers and algorithms to solve complex mathematical problems, perform data analysis, and simulate real-world systems. Python is a popular language for scientific computing due to its simplicity, versatility, and an extensive ecosystem Continue Reading
How to Use spaCy for Natural Language Processing in Python
Natural Language Processing (NLP) is a field of artificial intelligence that focuses on the interaction between computers and human language. It involves tasks such as text classification, named entity recognition, part-of-speech tagging, and more. spaCy is a popular open-source library for NLP in Python. It provides a simple and efficient Continue Reading
How to Use OpenAI Gym for Reinforcement Learning
Introduction Reinforcement Learning (RL) is a subfield of machine learning that focuses on learning optimal decisions by interacting with an environment. OpenAI Gym is a popular toolkit for developing and comparing RL algorithms. It provides a wide range of pre-built environments and tools to simulate and train agents. In this Continue Reading
How to Use OpenAI DALL-E for Image Manipulation
OpenAI DALL-E is a groundbreaking generative model that combines the power of deep learning and differential programming to create highly expressive and coherent images from textual prompts. It has proven to be immensely useful in a variety of applications, including art, design, and content generation. In this tutorial, we will Continue Reading
How to Build a Speech-to-Text App with OpenAI GPT-3 and Google Speech API
In this tutorial, we will guide you on how to build a Speech-to-Text app using OpenAI GPT-3 and the Google Speech API. By the end of this tutorial, you will have a working app that can convert spoken language into written text. Prerequisites Before we begin, make sure you have Continue Reading
How to use LLMs for chatbot development and conversational AI
How to Use Language Model Modules (LLMs) for Chatbot Development and Conversational AI In recent years, chatbots and conversational AI have gained immense popularity and usage across various industries. Organizations have realized the potential of chatbots in automating customer support, improving user experiences, and increasing engagement. One of the crucial Continue Reading
How to Use OpenAI Gym for Actor-Critic Methods
In this tutorial, we will explore how to use OpenAI Gym for implementing Actor-Critic methods. Actor-Critic is a popular reinforcement learning algorithm that combines the benefits of both value-based and policy-based methods. OpenAI Gym is a powerful Python library that provides a collection of environments to develop and test reinforcement Continue Reading
How to use LLMs for text generation and evaluation
Language Models, also known as LMs, are a fundamental tool in Natural Language Processing (NLP) tasks such as text generation, machine translation, and speech recognition. Recently, there has been a lot of excitement around Large Language Models (LLMs) due to their ability to generate coherent and contextually relevant text. In Continue Reading
How to use LLMs for text segmentation and tagging
How to Use Language Model-Based Methods (LLMs) for Text Segmentation and Tagging In this tutorial, we will explore how to use Language Model-Based Methods (LLMs) for text segmentation and tagging. LLMs are powerful models that can generate coherent and structured text representations, allowing for a range of natural language processing Continue Reading