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...
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...
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...
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...
Demos
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