Welcome to AI/ML Apprentice!

Session 2: Ngram-Based Language Models

Embark on an exciting journey into the world of natural language processing with Xojo. In this session, we dive into the creation and application of Ngram-based language models, foundational to understanding and generating human-like text.

Understanding Ngrams:

Concept: Learn how sequences of words (Ngrams) are used to predict the next word in a sequence, forming the basis of many modern language models.
Contextual Generation: Discover how a sliding context window can generate coherent and contextually relevant text.

Capabilities of Ngram Models:

Text Generation: Create plausible and diverse text sequences based on statistical patterns from training data.
High Variability: Achieve 88%+ variation from original training data, showcasing the power of Ngrams to generalize text creation.
Local Dependencies: Capture local word dependencies to enhance text coherence and contextual relevance.

Practical Example with Xojo:

Building the Model: Implement an Ngram-based LLM in Xojo, from loading and tokenizing text to training the model and generating text.
Demo Application: Create a Xojo application that generates text using the trained Ngram model, demonstrating the practical applications of Ngrams in real-world scenarios.

By mastering Ngram-based language models, you'll be equipped to build smarter, more intuitive applications that understand and generate human language in remarkable ways. Dive in, experiment, and see how these powerful tools can transform your development projects.