Woodpecker
CogVLM
| Woodpecker | CogVLM | |
|---|---|---|
| 2 | 16 | |
| 556 | 5,246 | |
| - | 11.2% | |
| 8.9 | 9.0 | |
| 4 months ago | 3 days ago | |
| Python | Python | |
| - | Apache License 2.0 |
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Woodpecker
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shinning the spotlight on CogVLM
Woodpecker: Hallucination Correction for Multimodal Large Language Models https://github.com/BradyFU/Woodpecker
- Woodpecker: Hallucination Correction for Multimodal Large Language Models
CogVLM
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Mixtral: Mixture of Experts
CogVLM is very good in my (brief) testing: https://github.com/THUDM/CogVLM
The model weights seem to be under a non-commercial license, not true open source, but it is "open access" as you requested.
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IT Employment Grew by Just 700 Jobs in 2023, Down From 267,000 in 2022
increasing growth most places in world
https://twitter.com/elonmusk/status/1743028102446408026
heres a total feature map of what was released in 2023:
https://twitter.com/enriquebrgn/status/1740950767325024387
I think thats definitely a signal that the B and C teams werent needed, considering they cut 90% of staff LOL.
As for the bots, AI is making it easier than ever to bypass those systems. CogVLM is just sitting there menacingly on github https://github.com/THUDM/CogVLM
- Show HN: I built an open source AI video search engine to learn more about AI
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CogAgent-18B – visual-based GUI Agent capabilities
Jump to heading for benchmarks and examples: https://github.com/THUDM/CogVLM/tree/main?tab=readme-ov-file...
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What do you think. When should we expect the next SDXL version?
Honestly at this point there is no need for human for captioning except maybe for NSFW content. Img2text is just good enough for nearly all images. GPTVision or open source equivalent (like CogVLM https://github.com/THUDM/CogVLM ) are just good enough.
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shinning the spotlight on CogVLM
A core Llama.cpp contributor, named cmp-nct, discovered stumbled upon what might be the next leap forward for vision/language models. CogVLM (which uses a Vicuna 7B language model combined with a 9B vision tower) excels particularly in OCR (Optical Character Recognition), detail detection, and minimal hallucinations. It effectively understands both handwritten and typed text, context, fine details, and background graphics. It even provides pixel coordinates for small visual targets. CovVLM surpasses other models like llava-1.5 and Qwen-VL in performance.
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Image-to-Caption Generator
https://github.com/THUDM/CogVLM (really impressive)
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Gemini: Google's most capable AI model yet
I'm researching using LLMs for alt-text suggestion for forum users, can you share your finding so far?
Outside of GPT-4V I had good first results with https://github.com/THUDM/CogVLM
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Open-source LLMs with Image Interpretation
I've got some decent results with CogVLM. Resolution kinda sucks at 490x490, though.
- FLaNK Stack Weekly for 27 November 2023
What are some alternatives?
hallucination-leaderboard - Leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents
LLaVA - [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
unilm - Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
Qwen - The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
ChatGLM2-6B - ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型
Qwen-VL - The official repo of Qwen-VL (通义千问-VL) chat & pretrained large vision language model proposed by Alibaba Cloud.
GPT4RoI - GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest
vimGPT - Browse the web with GPT-4V and Vimium
deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
uform - Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️