Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca
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Updated
Mar 6, 2024 - Python
Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca
🍼 Official implementation of Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts
Language Models Resist Alignment
Code for Suri: Multi-constraint instruction following for long-form text generation
Evaluating Large Language Models with Instructions and Prompts
an instruction-tuning dataset generation script
Implementation of Bitune: Bidirectional Instruction-Tuning
Random Noisy Embeddings with fine-tuning 방법론을 한국어 LLM에 간단히 적용할 수 있는 Kosy🍵llama
Instruction and training dataset generation using Mistral 7B with context from document chunks
EasyRLHF aims to provide an easy and minimal interface to train aligned language models, using off-the-shelf solutions and datasets
Instruction fine tuning BART for Dialogue Summarization | IT4772E | NLP Project 20232
The official implementation of paper "Demystifying Instruction Mixing for Fine-tuning Large Language Models"
This repo is the official implementation for Incubating Text Classifiers Following User Instruction with Nothing but LLM. We allow users to get a personalized classifier with only the instruction as input. The incubation is based on a llama-2-7b fine-tuned on Huggingface Meta Data and Self-Diversification.
An interpretable KBQA system that operates at the natural language level with the help of LLMs
"RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation"
This repository has a lot of LLM projects done. It is the best place to start learning LLM.
Vision Large Language Models trained on M3IT instruction tuning dataset
SCAR: Efficient Instruction-Tuning for Large Language Models via Style Consistency-Aware Response Ranking
[ECCV 2024] ShareGPT4V: Improving Large Multi-modal Models with Better Captions
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