Building a LLM from Scratch: Replacing Transformers with Hyperdimensional Computing and Neuro-Symbolic AI Enhanced with Knowledge Distillation

Introduction

In the crazy fast changing world of artificial intelligence (AI), large language models (LLMs) have emerged as powerful tools for natural language understanding and generation. This blog post presents a comprehensive approach to building a large language model from scratch, focusing on replacing traditional transformer architectures with innovative techniques: Hyperdimensional Computing (HDC) and Neuro-Symbolic AI (NSAI).

Additionally, we will explore the process of knowledge distillation using pre-trained models, enhancing our model’s capabilities while reducing complexity.

Overview

What You Will Learn

1. Understanding Hyperdimensional Computing (HDC): A mathematical framework for efficiently representing and manipulating data in high-dimensional spaces.
2. Exploring Neuro-Symbolic AI (NSAI): A hybrid approach combining neural networks with symbolic reasoning to enhance model interpretability and decision-making.
3. Utilizing Knowledge Distillation: Extracting knowledge from a pre-trained model to improve the performance of a…