YoVDO

Hierarchical Prompting Taxonomy - A Universal Evaluation Framework for Large Language Models

Offered By: Unify via YouTube

Tags

Model Evaluation Courses Artificial Intelligence Courses Machine Learning Courses arXiv Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a comprehensive conference talk featuring Devichand Budagam from IIT Kharagpur India, co-author of the paper "Hierarchical Prompting Taxonomy: A Universal Evaluation Framework for Large Language Models." Delve into the innovative Hierarchical Prompting Taxonomy (HPT), a universal evaluation metric designed to assess both dataset complexity and Large Language Model capabilities. Gain insights into this groundbreaking framework that offers a new approach to evaluating AI systems. Discover additional resources, including The Deep Dive newsletter for the latest AI research and industry trends, and Unify's blog for in-depth exploration of the AI deployment stack. Connect with Unify through various social media platforms to stay updated on cutting-edge developments in AI, machine learning, and deep learning.

Syllabus

Hierarchical Prompting Taxonomy: A Universal Evaluation Framework for Large Language Models


Taught by

Unify

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity
Natural Language Processing
Columbia University via Coursera
Probabilistic Graphical Models 1: Representation
Stanford University via Coursera
Computer Vision: The Fundamentals
University of California, Berkeley via Coursera
Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent