2024-07-11 –, North Hall
The instruction following and in-context learning capabilities of LLMs make them suitable for tackling many NLP tasks. In this talk, we will introduce Scikit-LLM, a rapidly growing, beginner-friendly library that abstracts the complexity of working with LLMs by providing a scikit-learn compatible API. We will showcase how Scikit-LLM can be utilized for solving text classification and text-to-text tasks, and will delve deeper into various methods to improve the model performance, such as prompting strategies and fine-tuning.
Beginner
I hold a Masters degree in Artificial Intelligence and work as a Data Scientist. In my spare time, I am focusing on open-source projects and contributing to several libraries designed to streamline and simplify various aspects of data science.
I am a Data Scientist with a master's degree in Artificial Intelligence. Core contributor of Scikit-LLM.