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Applied AI Research Lab
- Greece
- https://scholar.google.com/citations?user=Vl7QTuEAAAAJ
- in/rkonstadinos
- https://Applied-AI-Research-Lab.github.io
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Product-Recommendations-Software-Unsupervised-Models-Evaluated-by-GPT-4-LLM
Product-Recommendations-Software-Unsupervised-Models-Evaluated-by-GPT-4-LLM PublicPrecision-Driven Product Recommendation Software: Unsupervised Models, Evaluated by GPT-4 LLM for Enhanced Recommender Systems
Jupyter Notebook 2
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Next-Generation-Spam-Filtering-Fine-Tuning-GPT-4-and-RoBERTa-Models-for-Email-Classification
Next-Generation-Spam-Filtering-Fine-Tuning-GPT-4-and-RoBERTa-Models-for-Email-Classification PublicNext-Generation Spam Filtering: Comparative Fine-Tuning of LLMs, NLPs, and CNN Models for Email Spam Classification
Jupyter Notebook 2
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GPT-vs-BERT-Twitter-Election-Sentiment-Analysis
GPT-vs-BERT-Twitter-Election-Sentiment-Analysis PublicFine-Tuning NLP and LLMs: Exploring Election Sentiment Analysis on Twitter with GPT and BERT Models Using Few-shot Learning
Jupyter Notebook 1
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GPT-vs-LLaMA2-Reddit-Election-Sentiment-Analysis
GPT-vs-LLaMA2-Reddit-Election-Sentiment-Analysis PublicGPT vs. LLaMA model: An In-depth Examination of Zero-shot Learning in Reddit Sentiment Analysis for Elections
Python
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