Natural Language Processing (NLP)

NLP is a branch of AI that allows computers to understand, interpret and respond to natural human language. Examples can include a chatbot, voice assistants and translation apps.

Types of NLP

Large Language Models (LLMs)

• A model trained on huge amounts of text data, with billions of pattern learning parameters
• Excels at generating human-like responses, writing code and working with language
• Resource heavy and subject to training bias, drift and misalignment

Small Language Models (SLMs)

• Similar to LLMs but trained on a much smaller, often more specific dataset
• Good for specific tasks but not general knowledge
• Fast, low latency and cheaper to run
• Often more secure since they have a narrow focus

Generative Adversarial Networks (GANs)

• Focus is on images, video, audio and tasks - outside of natural language
• Two models that work against each other to produce realistic media
  • Generator - creates data
  • Discriminator - Assesses if the data is correct
• Excellent at creating realistic medium such as deepfakes