CogVLM
uform
| CogVLM | uform | |
|---|---|---|
| 16 | 8 | |
| 5,193 | 903 | |
| 10.2% | 10.2% | |
| 9.0 | 9.2 | |
| 29 days ago | 14 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
CogVLM
-
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.
-
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
-
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...
-
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.
-
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.
-
Image-to-Caption Generator
https://github.com/THUDM/CogVLM (really impressive)
-
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
-
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
uform
-
CatLIP: Clip Vision Accuracy with 2.7x Faster Pre-Training on Web-Scale Data
question: any good on-device size image embedding models?
tried https://github.com/unum-cloud/uform which i do like, especially they also support languages other than English. Any recommendations on other alternatives?
- Multimodal Embeddings for JavaScript, Swift, and Python
- Show HN: UForm v2 Featuring Multimodal Matryoshka, Multimodal DPO, and ONNX
- UForm v1: Multimodal Chat in 1.5B Parameters
-
Show HN: I scraped 25M Shopify products to build a search engine
As you scale, you may benefit from these two projects I maintain, and the Big Tech uses :)
https://github.com/unum-cloud/usearch - for faster search
https://github.com/unum-cloud/uform - for cheaper multi-lingual multi-modal embeddings
-
Show HN: U)Search Images demo in 200 lines of Python
[2]: https://github.com/unum-cloud/uform
- Show HN: UForm v2 – tiny CLIP-like embeddings in 21 languages and Graphcore API
-
Unum: Vector Search engine in a single file
Ouch! That’s fat! Which model is that?
We have built a few video-search system by now, using USearch and UForm for embedding. They are only 256 dims and you can concatenate a few from different parts of the video. Any chance it would help?
https://github.com/unum-cloud/uform
What are some alternatives?
LLaVA - [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
usearch - Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
kuzu - Embeddable property graph database management system built for query speed and scalability. Implements Cypher.
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
LinkBERT - [ACL 2022] LinkBERT: A Knowledgeable Language Model 😎 Pretrained with Document Links
Qwen-VL - The official repo of Qwen-VL (通义千问-VL) chat & pretrained large vision language model proposed by Alibaba Cloud.
neural-file-sorter - A neural network based file sorter. Trains an autoencoder to sort images or audio based on the similarity of their encodings, or uses the OpenAI CLIP model.
vimGPT - Browse the web with GPT-4V and Vimium
ucall - Remote Procedure Calls - 50x lower latency and 70x higher bandwidth than FastAPI, implementing JSON-RPC & 🔜 REST over io_uring and SIMDJSON ☎️
semantic-search-app-template - Tutorial and template for a semantic search app powered by the Atlas Embedding Database, Langchain, OpenAI and FastAPI