Skywork-MM
Multi-modal language model
An empirical study aiming to develop a large language model capable of effectively integrating multiple input modalities
Empirical Study Towards Building An Effective Multi-Modal Large Language Model
23 stars
2 watching
1 forks
last commit: over 1 year ago Related projects:
Repository | Description | Stars |
---|---|---|
| A high-performance mixture-of-experts model with innovative training techniques for language processing tasks | 126 |
| A pre-trained language model developed on 3.2TB of high-quality multilingual and code data for various applications including chatbots, text generation, and math calculations. | 1,228 |
| A multi-modal large language model that integrates natural language and visual capabilities with fine-tuning for various tasks | 73 |
| Large language models designed to perform well in multiple languages and address performance issues with current multilingual models. | 476 |
| An LLaMA-based multimodal language model with various instruction-following and multimodal variants. | 17 |
| A multi-modal language model that integrates image, video, audio, and text data to improve language understanding and generation | 1,568 |
| An end-to-end trained model capable of generating natural language responses integrated with object segmentation masks for interactive visual conversations | 797 |
| A collection of lightweight state-of-the-art language models designed to support multilinguality, coding, and reasoning tasks on constrained resources. | 232 |
| A collection of benchmarks to evaluate the multi-modal understanding capability of large vision language models. | 168 |
| Evaluates and benchmarks multimodal language models' ability to process visual, acoustic, and textual inputs simultaneously. | 15 |
| An end-to-end image captioning system that uses large multi-modal models and provides tools for training, inference, and demo usage. | 1,849 |
| A family of large multimodal models supporting multimodal conversational capabilities and text-to-image generation in multiple languages | 1,098 |
| An implementation of a neural network model for character-level language modeling. | 50 |
| An open-source multilingual large language model designed to understand and generate content across diverse languages and cultural contexts | 92 |
| Extending pretraining models to handle multiple modalities by aligning language and video representations | 751 |