How to use LLMs for music analysis and generation

How to Use LSTMs for Music Analysis and Generation Introduction Long Short-Term Memory (LSTM) is a type of Recurrent Neural Network (RNN) architecture that is particularly effective at modeling sequences in data. It has been successfully used in many applications, including natural language processing and music generation. In this tutorial, 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 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 simplification and readability enhancement

Introduction In today’s digital era, generating simplified and easily understandable text has become increasingly important. Text simplification techniques are used to transform complex and verbose text into simpler and more straightforward language. These techniques are widely employed in various applications, such as educational materials, language translation, and accessibility enhancements for Continue Reading