TaskMatrix
CLIP
TaskMatrix | CLIP | |
---|---|---|
10 | 104 | |
34,519 | 22,316 | |
0.1% | 3.0% | |
7.3 | 1.2 | |
4 months ago | 6 days ago | |
Python | Jupyter Notebook | |
GNU General Public License v3.0 or later | MIT License |
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TaskMatrix
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How to create an automation workflow with GPT-4 image input?
I want to create a script that would automatically read telegram posts and process them, for this, using APIs these days is simply not reliable, so I'm thinking of using selenium python with the browser to do this..is there a way to develop an automated workflow that does this? I've looked in visual GPT from Microsoft https://github.com/microsoft/TaskMatrix
- TaskMatrix
- TaskMatrix Connects ChatGPT and a Series of Visual Foundation Models
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April 2023
Low-code LLM (https://github.com/microsoft/TaskMatrix/tree/main/LowCodeLLM)
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GPT-4 with browsing prompt
Yep, this is what Microsoft and others have done with the API to create things like bing chat. See: https://github.com/microsoft/TaskMatrix
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[D] LLM or model that does image -> prompt?
Visual ChatGPT (now renamed as TaskMatrix https://github.com/microsoft/TaskMatrix likely as a result of OpenAI trying to regulate the use of the name GPT. Same happened for GPT-Eval -> G-Eval).
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What’s stopping ChatGPT from replacing a bunch of jobs right now?
Microsoft is also going to connect millions of APIs. Right now software for the most part lives in silos and needs humans to move information from one software application to another. TaskMatrixAI will automate that by having a standard API schema that everyone buys into like Apple’s iOS if they want to make money. GPT and Jarvis automatically write the Python code to connect any desired APIs. https://github.com/microsoft/TaskMatrix/tree/main/TaskMatrix.AI
- 👨💻 Microsoft Researchers Propose Low-Code LLM: A Novel Human-LLM Interaction Pattern
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Track-Anything: a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything and XMem.
microsoft/TaskMatrix (github.com)
- The repository where TaskMatrix.AI will be released just officially changed names from Visual ChatGPT to TaskMatrix. Code is probably coming soon.
CLIP
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Anomaly Detection with FiftyOne and Anomalib
pip install -U huggingface_hub umap-learn git+https://github.com/openai/CLIP.git
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How to Cluster Images
We will also need two more libraries: OpenAI’s CLIP GitHub repo, enabling us to generate image features with the CLIP model, and the umap-learn library, which will let us apply a dimensionality reduction technique called Uniform Manifold Approximation and Projection (UMAP) to those features to visualize them in 2D:
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Show HN: Memories, FOSS Google Photos alternative built for high performance
Biggest missing feature for all these self hosted photo hosting is the lack of a real search. Being able to search for things like "beach at night" is a time saver instead of browsing through hundreds or thousands of photos. There are trained neural networks out there like https://github.com/openai/CLIP which are quite good.
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Zero-Shot Prediction Plugin for FiftyOne
In computer vision, this is known as zero-shot learning, or zero-shot prediction, because the goal is to generate predictions without explicitly being given any example predictions to learn from. With the advent of high quality multimodal models like CLIP and foundation models like Segment Anything, it is now possible to generate remarkably good zero-shot predictions for a variety of computer vision tasks, including:
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A History of CLIP Model Training Data Advances
(Github Repo | Most Popular Model | Paper | Project Page)
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NLP Algorithms for Clustering AI Content Search Keywords
the first thing that comes to mind is CLIP: https://github.com/openai/CLIP
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How to Build a Semantic Search Engine for Emojis
Whenever I’m working on semantic search applications that connect images and text, I start with a family of models known as contrastive language image pre-training (CLIP). These models are trained on image-text pairs to generate similar vector representations or embeddings for images and their captions, and dissimilar vectors when images are paired with other text strings. There are multiple CLIP-style models, including OpenCLIP and MetaCLIP, but for simplicity we’ll focus on the original CLIP model from OpenAI. No model is perfect, and at a fundamental level there is no right way to compare images and text, but CLIP certainly provides a good starting point.
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COMFYUI SDXL WORKFLOW INBOUND! Q&A NOW OPEN! (WIP EARLY ACCESS WORKFLOW INCLUDED!)
in the modal card it says: pretrained text encoders (OpenCLIP-ViT/G and CLIP-ViT/L).
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Stability Matrix v1.1.0 - Portable mode, Automatic updates, Revamped console, and more
Command: "C:\StabilityMatrix\Packages\stable-diffusion-webui\venv\Scripts\python.exe" -m pip install https://github.com/openai/CLIP/archive/d50d76daa670286dd6cacf3bcd80b5e4823fc8e1.zip --prefer-binary
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[D] LLM or model that does image -> prompt?
CLIP might work for your needs.
What are some alternatives?
JARVIS - JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
open_clip - An open source implementation of CLIP.
doctorgpt - DoctorGPT brings GPT into production for application log error diagnosing!
sentence-transformers - Multilingual Sentence & Image Embeddings with BERT
EditAnything - Edit anything in images powered by segment-anything, ControlNet, StableDiffusion, etc. (ACM MM)
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
E2B - Secure cloud runtime for AI apps & AI agents. Fully open-source.
disco-diffusion
deepdoctection - A Repo For Document AI
DALLE2-pytorch - Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
supercharger - Supercharge Open-Source AI Models
BLIP - PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation