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⚡️ MiniGPT4-Video: Advancing Multimodal LLMs for Video Understanding with Interleaved Visual-Textual Tokens
➡️ MiniGPT4- Video : A new multimodal LLM for video understanding using alternating visual-text tokens.
MiniGPT4 takes into account not only visual content, but also dialogue in videos, this allows the model to efficiently answer queries that include both visual and text components.
During inference, a speech-to-text model, the Whisper model , is used to create video subnoscripts. Both video and subnoscripts are then fed into the MiniGPT4-Video model with prompts, and the model outputs responses to your request.
▪ code: https://github.com/Vision-CAIR/MiniGPT4-video
▪ page: https://vision-cair.github.io/MiniGPT4-video/
▪ paper: https://arxiv.org/abs/2404.03413
▪ jupyter: https://github.com/camenduru/MiniGPT4-video-jupyter
✅ https://news.1rj.ru/str/DataScienceT
➡️ MiniGPT4- Video : A new multimodal LLM for video understanding using alternating visual-text tokens.
MiniGPT4 takes into account not only visual content, but also dialogue in videos, this allows the model to efficiently answer queries that include both visual and text components.
During inference, a speech-to-text model, the Whisper model , is used to create video subnoscripts. Both video and subnoscripts are then fed into the MiniGPT4-Video model with prompts, and the model outputs responses to your request.
git clone https://github.com/Vision-CAIR/MiniGPT4-video.git
▪ code: https://github.com/Vision-CAIR/MiniGPT4-video
▪ page: https://vision-cair.github.io/MiniGPT4-video/
▪ paper: https://arxiv.org/abs/2404.03413
▪ jupyter: https://github.com/camenduru/MiniGPT4-video-jupyter
✅ https://news.1rj.ru/str/DataScienceT
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Dynamic Prompt Optimizing for Text-to-Image Generation
🖥 Github: https://github.com/mowenyii/pae
📕 Paper: https://arxiv.org/abs/2404.04095v1
🔥Dataset: https://paperswithcode.com/dataset/coco
✅ https://news.1rj.ru/str/DataScienceT
🖥 Github: https://github.com/mowenyii/pae
📕 Paper: https://arxiv.org/abs/2404.04095v1
🔥Dataset: https://paperswithcode.com/dataset/coco
✅ https://news.1rj.ru/str/DataScienceT
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The year 2024 is the year of crypto🚀 Many coins are set to rocket by 20-100x from their current value. This is not an opportunity to be missed!
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Harry shares life hacks for smart investing and selecting the top-tier projects during the bull run🔥🔥Everyone can build significant capital, even if you're a beginner
Join my friend's channel to stay on top of the trends and not miss out on profitable projects: https://news.1rj.ru/str/+MCO0nfuEfW4wYTlk
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Alibaba's LLM model was recently updated to version 72B after training on a staggering 3 trillion tokens of multilingual data.
This AI marvel can be run locally for complete control and privacy (and speed if you have a powerful GPU)
The image shows a comparison of the characteristics of Qwen 72B with Llama 70B, with GPT-3.5 and GPT-4
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But 99% freelancers will never tell you about this secret tool (no one likes competition)
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📃SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning
🗓 Publish year: 2023
🧑💻Authors: Keyu Duan, Qian Liu,Tat-Seng Chua, Shuicheng Yan, Wei Tsang Ooi, Qizhe Xie, Junxian He
🏢Universities: ENational University of Singapore, The Hong Kong University of Science and Technology
📎 Study the paper
💻 Code
✅ https://news.1rj.ru/str/DataScienceT
🗓 Publish year: 2023
🧑💻Authors: Keyu Duan, Qian Liu,Tat-Seng Chua, Shuicheng Yan, Wei Tsang Ooi, Qizhe Xie, Junxian He
🏢Universities: ENational University of Singapore, The Hong Kong University of Science and Technology
📎 Study the paper
💻 Code
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🔥 Large selection of interview questions on DS, AI, ML, DL, NLP, computer vision.
✅ Machine learning interview questions and answers for data scientists
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😠 More likes 💦 ➡️ more posts
✈️ http://t.me/codeprogrammer ✅
✅ Machine learning interview questions and answers for data scientists
✅ Deep Learning Interview Questions and Answers for Data Scientists
✅ Statistics questions
✅ Questions on probability theory
✅ Repository for a line of online courses on statistics
✅ Questions and answers for data scientists in Python
✅ SQL and DB Interview Questions and Answers for Data Scientists
Questions Based on Resumes
✅ Large Language Model (LLM) Interview Questions and Answers
✅ Questions and answers to interviews on computer vision part 1
✅ Computer vision interview questions and answers part 2
✅ Questions and answers to computer vision interviews part 3
😠 More likes 💦 ➡️ more posts
✈️ http://t.me/codeprogrammer ✅
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Taming Stable Diffusion for Text to 360° Panorama Image Generation
🖥 Github: https://github.com/chengzhag/panfusion
📕 Paper: https://arxiv.org/abs/2404.07949v1
🔥 Dataset: https://chengzhag.github.io/publication/panfusion/
✅ https://news.1rj.ru/str/DataScienceT
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EventEgo3D: 3D Human Motion Capture from Egocentric Event Streams
🖥 Github: https://github.com/Chris10M/EventEgo3D
📕 Paper: https://arxiv.org/abs/2404.08640v1
🔥Dataset: https://paperswithcode.com/task/3d-human-pose-estimation
🖥 Github: https://github.com/Chris10M/EventEgo3D
📕 Paper: https://arxiv.org/abs/2404.08640v1
🔥Dataset: https://paperswithcode.com/task/3d-human-pose-estimation
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Pixart-Sigma, the first high-quality, transformer-based image generation training framework!
🖥 Github: https://github.com/PixArt-alpha/PixArt-sigma
🔥Demo: https://huggingface.co/spaces/PixArt-alpha/PixArt-Sigma
🖥 Github: https://github.com/PixArt-alpha/PixArt-sigma
🔥Demo: https://huggingface.co/spaces/PixArt-alpha/PixArt-Sigma
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