Ruhma Khawaja

“I hear the voice of my ancestor’s calling, I hear the voice of my ancestors call. I hear the voice of my ancestor’s calling, I hear the voice of my ancestors call. Singing wake up, wake up child, wake up wake up, listen, listen, listen listen Singing wake up, wake up child, wake up wake up, listen, listen, listen listen” Author’s Note: The lyrics come from “Ancestors Song” popularized by the student movement for Palestine at Brown University. Versions vary.

In this article, we are getting an overview of LLM and some of the best Large Language Models that exist today. In 2023, Artificial Intelligence (AI) is a hot topic, captivating millions of people worldwide. AI’s remarkable language capabilities, driven by advancements in Natural Language Processing (NLP) and Large Language Models (LLMs) like ChatGPT from OpenAI, have contributed to its popularity. LLM, like ChatGPT, LaMDA, PaLM, etc., are advanced computer programs trained on vast textual data.

Fine-tuning LLMs, or Large Language Models, involves adjusting the model’s parameters to suit a specific task by training it on relevant data, making it a powerful technique to enhance model performance. Table of Contents Toggle Boosting model expertise and efficiency Pre-trained large language models (LLMs) offer many capabilities but aren’t universal. When faced with a task beyond their abilities, fine-tuning is an option. This process involves retraining LLMs on new data.