[NLP with Transformers] Fine-tuning Pre-trained Transformer Models

Transfer Learning and Fine-tuning Concepts: Loading and Using Pre-trained Models from HuggingFace: Customizing Model Architectures and Hyperparameters: Fine-tuning Example: Sentiment Analysis Don’t forget to modify the code to fit your unique NLP task and dataset. A rudimentary example of sentiment analysis utilizing a binary classification problem is shown in the provided code. By fine-tuning pre-trained … Read more

[NLP with Transformers] Text Preprocessing for NLP

Tokenization and Subword Encoding: Output: Handling Special Tokens and Padding: Output: Data Cleaning and Normalization Techniques: Output: These sample codes show how to use HuggingFace’s Tokenizers library and regular expressions to accomplish tokenization, subword encoding, managing special tokens and padding, as well as data cleaning and normalization procedures. Based on your unique NLP goals and … Read more

[NLP with Transformers] Fundamentals of Transformers

Understanding the Transformer Architecture: Self-Attention Mechanism: Transformer Layers and Multi-Head Attention: Positional Encoding: Sample Code Example (using Python and PyTorch): This example program uses PyTorch to demonstrate a condensed version of a Transformer model. It comprises the key elements covered, including positional encoding, the Transformer layer, and multi-head attention. Keep in mind that there are … Read more

[NLP with Transformers] Introduction to Natural Language Processing

Introduction to Natural Language Processing An overview of natural language processing (NLP) and its uses will be given in this section. We will also go over some fundamental ideas and terms that are used in the industry. We’ll also provide sample code to get you started using Transformers for NLP. Overview of NLP: A branch … Read more

MosaicML 30B Model: The New Challenger in the LLM Race

The New Rival in the LLM Race Is the MosaicML 30B Model Large language models (LLMs) are a rapidly developing discipline, and great rivalry exists to develop the most robust and adaptable LLM. Major developments in the field have occurred recently, with models like GPT-3 and LaMDA setting new standards for what is feasible. The … Read more

Unleashing the Power of Natural Language Processing with Hugging Face Transformer

Introduction: Through the use of natural language processing (NLP), which enables machines to comprehend and produce human language, technology has completely changed the way humans engage with it. Numerous improvements have been made in this area over the years, but the Hugging Face Transformer technology stands out as a game-changer. We’ll look into Hugging Face … Read more