Evaluating Large Language Models with Instructions and Prompts
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Updated
Jan 28, 2024 - Python
Evaluating Large Language Models with Instructions and Prompts
KoTox is an automatically generated instruction dataset in Korean. The instruction set is used to mitigate the toxicity of the LLMs.
an instruction-tuning dataset generation script
A multimodal model for language-guided socially compliant robot navigation.
Basline: google/flan-t5 Finetuning: LMQG , LoRA
Summaries of papers related to the alignment problem in NLP
Implementation of the models of the Universal-NER Paper 2024 using a Streamlit-based web application that is designed to process PDF documents for Named Entity Recognition tasks. It allows users to upload PDF files, from which the application extracts text, images, and tables to identify entities based on a user-specific user-specified entity type.
Domain generalization on Aspect Based Sentiment Analysis (ABSA) task via utilizing noisy student architecture.
End-to-end MLOps LLM instruction finetuning based on PEFT & QLoRA to solve math problems.
Discourse chat data crawling and on-the-way parsing straight for LLM instruction finetuning. Data include texts, images and links ( Discourse论坛对话(图片,文本)数据爬取并解析,以直接用于(多模态)指令微调).
This repository has a lot of LLM projects done. It is the best place to start learning LLM.
The official implementation of paper "Demystifying Instruction Mixing for Fine-tuning Large Language Models"
This repo contains a list of channels and sources from where LLMs should be learned
Awesome Instruction Editing. Image and Media Editing with Human Instructions. Instruction-Guided Image and Media Editing.
This repository hosts materials from the Bertinoro International Spring School 2024 course
EMNLP'2023: Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration
Chinese Grammar Error and Spelling Error Correction System - 中文文法錯誤及錯別字校正系統
Instruction and training dataset generation using Mistral 7B with context from document chunks
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