In recent years, large language models (LLMs) have revolutionized natural language processing tasks such as text summarization and paraphrasing. LLMs like OpenAI’s GPT-3 have shown impressive performance in generating high-quality summaries and paraphrases that can be used in various applications. In this tutorial, we will explore how to use LLMs Continue Reading
“transformer models”
How to use LLMs for text summarization and expansion
Introduction Language models have revolutionized the field of natural language processing by providing powerful tools for tasks like text generation, translation, and summarization. One popular type of language model is the Long-Short Term Memory (LSTM) model, which is a type of Recurrent Neural Network (RNN). In this tutorial, we will Continue Reading
How to use LLMs for text generation and completion
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