PALS INDUSTRY ASSISTED LECTURE SERIES - BUILDING SUCCESSFUL LLM APLS: THE POWER OF HIGH-QUALITY DATA
PALS INDUSTRY ASSISTED LECTURE SERIES - BUILDING SUCCESSFUL LLM (LARGE LANGUAGE MODEL) APPLICATIONS: THE POWER OF HIGH-QUALITY DATA. Building successful applications with Large Language Models (LLMs) hinges on one critical factor: the quality of the data used in their development. LLMs have proven capabilities across wide range of applications, but their effectiveness is deeply intertwined with the quality and relevance of the datasets they are trained on. This is especially true for code datasets, where even minor inconsistencies or errors can significantly impact the performance and the reliability of the generated code. Ensuring that data is not only plentiful but also of high quality is crucial to overcoming these challenges.
In this session, we will delve into why data quality is essential for building robust and reliable foundational models. We will also explore the current state-of-the-art techniques for data preparation, highlighting methods that ensure the data fed into LLMs is clean, relevant, and well-structured, thereby maximizing the performance and applicability of these models.