TextBind

Conversational AI framework

Enables larger language models to generate multi-turn multimodal instruction-response conversations from image-caption pairs with minimal annotations.

[2024-ACL]: TextBind: Multi-turn Interleaved Multimodal Instruction-following in the Wildrounded Conversation

GitHub

47 stars
3 watching
3 forks
Language: Python
last commit: about 3 years ago

Related projects:

RepositoryDescriptionStars
microsoft/mpnetDevelops a method for pre-training language understanding models by combining masked and permuted techniques, and provides code for implementation and fine-tuning.288
pku-yuangroup/languagebindExtending pretraining models to handle multiple modalities by aligning language and video representations751
csuhan/onellmA framework for training and fine-tuning multimodal language models on various data types601
tiger-ai-lab/uniirTrains and evaluates a universal multimodal retrieval model to perform various information retrieval tasks.114
yiren-jian/blitextDevelops and trains models for vision-language learning with decoupled language pre-training24
qinbinli/moonA framework for collaborative machine learning model training that leverages similarity between model representations to correct local training.267
fuxiaoliu/mmcDevelops a large-scale dataset and benchmark for training multimodal chart understanding models using large language models.87
openai/finetune-transformer-lmThis project provides code and model for improving language understanding through generative pre-training using a transformer-based architecture.2,167
mbzuai-nlp/bactrian-xA collection of multilingual language models trained on a dataset of instructions and responses in various languages.94
mbzuai-llm/web2codeA dataset and framework for training large multimodal language models on webpage-to-code generation tasks67
vishaal27/sus-xThis is an open-source project that proposes a novel method to train large-scale vision-language models with minimal resources and no fine-tuning required.94
chendelong1999/polite-flamingoDevelops training methods to improve the politeness and natural flow of multi-modal Large Language Models63
openbmb/cpm-liveA live training platform for large-scale deep learning models, allowing community participation and collaboration in model development and deployment.511
vlf-silkie/vlfeedbackAn annotated preference dataset and training framework for improving large vision language models.88
open-mmlab/mmengineProvides a flexible and configurable framework for training deep learning models with PyTorch.1,196