This repository contains my practice in learning llms, specifically BERT, T5, GPT-2
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Updated
Dec 25, 2023 - Jupyter Notebook
This repository contains my practice in learning llms, specifically BERT, T5, GPT-2
End-to-End Conditional Poetry Generation
Chat bot using free and open source LLM with Langchain
This project classifies Amazon Food comments into positive, neutral, or negative sentiments. It employs two methods: a Bag-of-Words approach using VADER and transformers encoder-decoder approach using T5.
The Bot Warfare mod for Black Ops 1
Testing of the possible use of transformers model for various NLP tasks leveraging BERT pretrained model from Hugginface
This project consists of creating a streamlit app to summarize texts and identify entities. It uses both T5 and BART as summarization tools.
This repository explores the use of advanced sequence-to-sequence networks and transformer models, such as BERT, BART, PEGASUS, and T5, for summarizing multi-text documents in the medical domain. It leverages extensive datasets like CORD-19 and a Biomedical Abstracts dataset from Hugging Face to fine-tune these models.
[제 11회 투빅스 컨퍼런스] AM I OK ? - 전문의 답변 기반 심리진단 AI
Code and data for the StarSem 2023 paper "Arithmetic-Based Pretraining -- Improvin Numeracy of Pretrained Language Models"
Python package to generate MCQ Questions and Answers.
Two New Datasets for Italian-Language Abstractive Text Summarization
Kaggle Aivle School 4th MiniProject 스팸메일 분류
Pre-training and fine-tuning experiments with T5
Dealing with grammatical errors in Slovenian (school) written works
Question and Answer web applicaiton using fine-tuned and pre-trained T5 models. Application runs on Streamlit.
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