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Charunthon Limseelo - Personal Portfolio
Web design
MNIST Numerical Handwriting OCR Using Tensorflow Keras
Machine Learning
Intelligent Chatbot with Phi-3 SLM and Streamlit Library
Natural Language Processing
Time Series Analysis and Prediction from Temperature Anomaly
Machine Learning - Regression
publications
Thai Humor Generation by Small Language Models
Published in ECTI-CON 2025, 2025
Generating humor that aligns with Thai cultural and linguistic nuances is challenging for generative AI. This paper addresses this by fine-tuning small language models (SLMs) on high-quality, non-synthetic Thai humor datasets. The Llama-3.2-3B model and Low-Rank Adaptation (LoRA) were used for efficient parameter tuning. A comprehensive evaluation with Thai participants ensured the generated humor resonated with cultural expectations.
Recommended citation: Poobanchean, P., Chaithong, S., Muansuwan, N., Limseelo, C., Sirinaovakul, B., & Suwannahong, K. (2025). Thai Humor Generation by Small Language Models. King Mongkut’s University of Technology Thonburi.
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talks
Operation on Local AI Agent: Test Drive on Deepseek-R1 Reasoning and AutoGen with .NET and Ollama
Published:
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teaching
Teaching Assistant for CPE123: UX/UI Course
Undergraduate course, Computer Engineering - King Mongkut's University of Technology Thonburi, 2023
For this teaching experience, I have been invited to the course as the guest lecturer for teaching core web vitals, the good UX/UI design for web development, which is totally impacted to the developers to have a good responsibility on designing web application. The lecture that I have been discussed was about lazy loading, containers, and divider of the page content, along with some factors in the development and design.