Large Language Models (LLM)

[mouakter11]

Machine Learning is a branch of artificial intelligence (AI) that involves the development of algorithms and statistical models enabling computers to perform tasks without explicit programming. Put simply, it’s about training computers to learn and respond like humans using large datasets through a process called training.

From a chatbot’s perspective, Machine Learning serves as the brain behind the operation, enabling chatbots to understand natural language inputs, recognize user intents and entities, manage dialogue flow, generate responses, and personalize interactions.

LLM stands for “Large Language Model,” which refers to a computer program trained on extensive text data to understand human language and generate coherent responses or text based on a given input.

At the heart of LLMs is a special program called a Neural Network – a maze with multiple paths and connections. As these LLM models process the massive training data through its neural network, it learns the patterns of language, just like our brain learns from experience.

Some of the most popular LLM models that are available in advertising data the market right now are ChatGPT, LLaMA, Claude, BERT, Falcon etc.

Generative AI
Generative AI refers to the artificial intelligence systems designed to autonomously produce new content, such as images, text, or music, based on patterns learned from existing data.

They are powered by strong LLM models such as ChatGPT, which have been trained on vast amounts of data to understand and generate human-like text. Better the quantity and quality of data, sharper the GenAI responses are, enabling them to generate more accurate and contextually relevant content.

Machine learning (ML), Large Language Models (LLM) and Generative AI are very closely connected. Hence, understanding the relation between these three is important –

Machine Learning is the foundation for many AI applications including GenAI. It refers to the algorithms that can learn and improve from data without being programmed. GenAI on the other hand, is a subfield of ML focused on creating new content, like text, images, or code. Generative models are trained on large datasets of existing content and learn to identify pattern and use these patterns to generate new content.