[EMNLP 2023 Demo] Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
ChatGPT็็ซ๏ผๅผๅฏไบ้ๅพAGI็ๅ ณ้ฎไธๆญฅ๏ผๆฌ้กน็ฎๆจๅจๆฑๆป้ฃไบChatGPT็ๅผๆบๅนณๆฟไปฌ๏ผๅ ๆฌๆๆฌๅคงๆจกๅใๅคๆจกๆๅคงๆจกๅ็ญ๏ผไธบๅคงๅฎถๆไพไธไบไพฟๅฉ
Port of MiniGPT4 in C++ (4bit, 5bit, 6bit, 8bit, 16bit CPU inference with GGML)
ไธญๆๅปๅญฆๅคๆจกๆๅคงๆจกๅ Large Chinese Language-and-Vision Assistant for BioMedicine
Simplified local Windows OS setup of MiniGPT-4 running in an Anaconda environment; includes example local server and client.
Medical Report Generation And VQA (Adapting XrayGPT to Any Modality)
Streamline the creation of supervised datasets to facilitate data augmentation for deep learning architectures focused on image captioning. The core framework leverages MiniGPT-4, complemented by the pre-trained Vicuna model, which boasts 13 billion parameters.
MiniGPT-4 : Enhancing Vision-language Understanding with Advanced Large Language Models
About Implementation for paper "InstructionGPT-4: A 200-Instruction Paradigm for Fine-Tuning MiniGPT-4" (https://arxiv.org/abs/2308.12067)
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