Foundations of Large Language Models

Tutorial: Extracting Unstructured Text Using Large Language Models

This tutorial shows how to build a two-stage pipeline in which a multimodal large language model reads each page as an image and a second model turns the extracted text into structured JSON. We cover the choices that make such pipelines reliable and affordable, including structured outputs, parameter control, task deco...

Towards a universal language of concepts: A survey

It is proposed that programs are a strong candidate for universal representation of concepts and computational models of concept learning that use programs as their concept representation are reviewed.

Advances in Large Language Model

A large language model (LLM) is an AI model (typically a neural network) trained on a vast amount of text for natural language processing tasks, especially language generation. LLMs can typically generate, summarize, translate, and analyze text in many contexts. They are the basis for many modern chatbots, such as Chat...

GRAMMAR IN LANGUAGE MODELS: BERT STUDY

A Generative Discourse-New Model for Text Coherence

Professional Use of Large Language Models - What works and what doesn't?

AI large language models (LLMs) like ChatGPT can improve the efficiency of common language generation tasks performed by engineering professionals. In this session, we draw upon emerging academic research to suggest applications of LLMs in the field of industrial and systems engineering. Our demonstrations will showcas...