Prompt-Highlighter
Text controller
An interactive control system for text generation in multi-modal language models
[CVPR 2024] Prompt Highlighter: Interactive Control for Multi-Modal LLMs
135 stars
2 watching
2 forks
Language: Python
last commit: 7 months ago llm-inferencemulti-modalitytext-generation
Related projects:
| Repository | Description | Stars |
|---|---|---|
 ailab-cvc/seed | An implementation of a multimodal language model with capabilities for comprehension and generation | 585 |
| dvlab-research/lisa | A system that uses large language models to generate segmentation masks for images based on complex queries and world knowledge. | 1,923 |
| ailab-cvc/seed-bench | A benchmark for evaluating large language models' ability to process multimodal input | 322 |
| dvlab-research/llama-vid | An image-based language model that uses large language models to generate visual and text features from videos | 748 |
 wisconsinaivision/vip-llava | A system designed to enable large multimodal models to understand arbitrary visual prompts | 302 |
 rasulomaroff/reactive.nvim | A plugin for Neovim that applies dynamic highlights and window coloring based on mode changes and operator usage. | 202 |
 dgenzer/suricata-highlight-vscode | A language colorizer extension for Visual Studio Code that highlights Suricata rules syntax | 12 |
 kasama/nvim-custom-diagnostic-highlight | A plugin to apply custom highlights to diagnostics in a code editor | 59 |
 soolab/ddcot | This implementation provides tools and methods for multimodal reasoning in language models through prompting. | 35 |
 mr-lllll/interestingwords.nvim | A plugin for highlighting and navigating through multiple words in a buffer. | 44 |
 tony-xlh/capacitor-plugin-dynamsoft-label-recognizer | A Capacitor plugin that provides text recognition functionality | 2 |
 vimalabs/vima | An implementation of a general-purpose robot learning model using multimodal prompts | 781 |
 nvlabs/prismer | A deep learning framework for training multi-modal models with vision and language capabilities. | 1,299 |
 sy-xuan/pink | This project enables multi-modal language models to understand and generate text about visual content using referential comprehension. | 79 |
 echasnovski/mini.hipatterns | Provides a flexible way to highlight patterns in text with customizable options | 109 |