Mastering Prompt Engineering: Crafting Effective Summarization Prompts

Mastering Summarization Prompts: Crafting Effective Techniques for Precise Content Condensation Introduction: Welcome back to our ongoing series on prompt engineering! In our previous posts, we covered the foundational elements of prompt construction and explored techniques for controlling output formats. In this installment, we’ll delve into the third methodology: “Summarization Prompts.” Crafting effective summarization prompts allows … Read more

[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