Large Language Models Blog

Generative Adversarial Networks (GANs) and Bayesian Analysis for Incorporating Expert Opinions into Advanced Credit Risk Models

Credit risk Internal Ratings-Based (IRB) models are advanced methodologies used by banks to calculate the...

Pedagogical and Strategic Utility of Large Language Models

This presentation at the NLP Summit 2024 explores the transformative role of Large Language Models (LLMs) in both pedagogy and strategic educational planning. It examines how LLMs like GPT-4 can...

The Importance of Context in Language Models

We investigate how language models leverage context, accounting for various level of language analysis from lexical, semantics and pragmatics viewpoints, and conclude with a discussion on the how context plays...

A New Open Source Foundation for AI Data

by

Ida Lucente

The current data stack is built on top of foundations laid down a decade ago for tabular data. But AI datasets are much more complex and workloads are much more...

Quantizing Large Language Models

by

Ida Lucente

Quantization is an excellent technique to compress Large Language Models (LLM) and accelerate their inference. In this session, lets explore different quantization methods and techniques, the common libraries used and...