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Large Language Models Blog

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 personalize learning, enhance problem-solving, and streamline educational administration. The talk will cover successful case studies, demonstrate LLM applications in real-world educational settings, and discuss the integration challenges and ethical considerations involved. Attendees will gain insights into the dual utility of LLMs—not only as innovative educational tools but also as strategic assets in curriculum design and resource management. This session aims to equip educators, administrators, and technologists with the knowledge to effectively implement LLMs in their strategies, ensuring a balanced approach that supports both immediate educational needs and long-term objectives. The discussion will underscore the importance of strategic foresight in the deployment of AI technologies within educational frameworks.

Blog

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...

Literature reviews are a critical component of evidence-based medicine, serving as a structured approach to addressing clinical questions by systematically analyzing the breadth of published academic literature. However, traditional methods...