View Proposal


Proposer
Abdullah Almasri
Title
Evaluate the Ability to Generate Context-Aware Responses in Customer Service Scenarios using LLMs.
Goal
To evaluate how effectively LLMs generate contextually relevant and accurate responses in simulated customer service interactions.
Description
The task is to utilise LLMs for generating responses to customer service queries using a dataset of customer service queries and responses, evaluate response quality metrics, compare with human-generated responses, and propose improvements for optimising LLMs' performance in customer service applications.
Resources
Large Language Models
Background
Software Development, Machine Learning, NLP
Url
Difficulty Level
Moderate
Ethical Approval
InterfaceOnly
Number Of Students
2
Supervisor
Abdullah Almasri
Keywords
machine learning, large language models, natural language processing (nlp), text minning
Degrees
Bachelor of Science in Computing Science