PandaGPT
by yxuansu
[TLLM'23] PandaGPT: One Model To Instruction-Follow Them All
AI summary
Instruction-follower
A foundation model capable of instruction-following data across multiple modalities without explicit supervision.
- stars
- 772
- forks
- 60
- watching
- 11
Similar projects
Found by comparing what the projects do, not just their names.
Instruction model
A collection of multilingual language models trained on a dataset of instructions and responses in various languages.
Instruction dataset generator
Autonomously generates high-quality image-text instruction fine-tuning datasets
Instruction Parser
A large language model designed to understand and generate instructions with accompanying visual content
Instruction Dataset
Creating a large-scale user-based instruction dataset for natural language processing research and development
Model distiller
Automatically trains models from large foundation models to perform specific tasks with minimal human intervention.
Model Interpreter
A Python framework for learning to interpret models using information-theoretic methods
FL guidance
Investigates transfer learning in federated learning by guiding the last layer with pre-trained models
Language Model
Large-scale language model with improved performance on NLP tasks through distributed training and efficient data processing
ymcui/pert356
Semantic learning model
Develops a pre-trained language model to learn semantic knowledge from permuted text without mask labels
Personalized Learning Model Trainer
This project enables personalized learning models by collaborating on learning the best strategy for each client
Conversational AI framework
Enables larger language models to generate multi-turn multimodal instruction-response conversations from image-caption pairs with minimal annotations.
NLP task repository
Creating a large collection of tasks and their natural language definitions/instructions to support the development of NLP models with generalization capabilities
Federated learning library
An implementation of federated learning with prototype-based methods across heterogeneous clients
Chinese language model
Trains a large Chinese language model on massive data and provides a pre-trained model for downstream tasks
Instruction dataset
A multimodal benchmark dataset designed to evaluate the performance of vision-language foundation models through instruction tuning.