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
“Natural Language Processing”
How to use LLMs for text generation and optimization
Introduction Language Models (LMs) have revolutionized the field of Natural Language Processing (NLP) by enabling machines to understand and generate human-like text. LMs have numerous applications, including machine translation, sentiment analysis, text summarization, and more. In recent years, Large Language Models (LLMs) have gained significant attention due to their ability 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 LLMs for machine translation and multilingual communication
How to Use Language Model Multitask Systems (LLMs) for Machine Translation and Multilingual Communication Language Model Multitask Systems (LLMs) have gained significant attention in the field of Natural Language Processing (NLP) for tasks such as machine translation and multilingual communication. LLMs are capable of processing and generating text in multiple 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 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
How to use LLMs for natural language inference and reasoning
How to Use Language Model Logics (LLMs) for Natural Language Inference and Reasoning Introduction Natural Language Inference (NLI) and reasoning tasks are crucial for many natural language processing applications, such as question answering, information retrieval, and dialogue systems. However, traditional methods often struggle to accurately understand and reason about the Continue Reading
How to use LLMs for text ranking and scoring
How to Use Language Models for Text Ranking and Scoring Language Models (LMs) have become powerful tools in Natural Language Processing (NLP) tasks such as text generation, sentiment analysis, and machine translation. Lately, LMs have also gained popularity in text ranking and scoring applications. In this tutorial, we will explore Continue Reading