orcarouter/Qwen3.8-27B-Uncensored-GGUF
Image-Text-to-Text • 27B • Updated • 206k • 1.18k
Umberto Cocca
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orcarouter/Qwen3.8-27B-Uncensored-GGUF liked a model about 1 year ago
RedHatAI/Qwen2.5-VL-72B-Instruct-quantized.w4a16 reacted to MonsterMMORPG's post with 🔥 over 1 year ago
Hi3DGen Full Tutorial With Ultra Advanced App to Generate the Very Best 3D Meshes from Static Images : https://youtu.be/HjbD20B2C1g
Tutorial Link : https://youtu.be/HjbD20B2C1g
Hi3DGen is the newest state of the art image to 3D mesh generation model. In this tutorial I will show you step by step how to install and use this amazing open source AI model to generate the very best 3D meshes from static images and use in your projects.
🔗Follow below link to download the zip file that contains App installer - the one used in the tutorial ⤵️
▶️ https://www.patreon.com/posts/The-App-Installer-130766890
🔗 Requirements - Python, Git, CUDA, C++, FFMPEG, MSVC installation tutorial ⤵️
▶️ https://youtu.be/DrhUHnYfwC0
🔗 SECourses Official Discord 10500+ Members ⤵️
▶️ https://discord.com/servers/software-engineering-courses-secourses-772774097734074388
🔗 Stable Diffusion, FLUX, Generative AI Tutorials and Resources GitHub ⤵️
▶️ https://github.com/FurkanGozukara/Stable-Diffusion
🔗 SECourses Official Reddit - Stay Subscribed To Learn All The News and More ⤵️
▶️ https://www.reddit.com/r/SECourses/
🔗 SUPIR Image Upscaling App Tutorial for Upscaling Images With Really Adding New Details ⤵️
▶️ https://youtu.be/OYxVEvDf284Organizations
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Hi3DGen Full Tutorial With Ultra Advanced App to Generate the Very Best 3D Meshes from Static Images : https://youtu.be/HjbD20B2C1g
Tutorial Link : https://youtu.be/HjbD20B2C1g
Hi3DGen is the newest state of the art image to 3D mesh generation model. In this tutorial I will show you step by step how to install and use this amazing open source AI model to generate the very best 3D meshes from static images and use in your projects.
🔗Follow below link to download the zip file that contains App installer - the one used in the tutorial ⤵️
▶️ https://www.patreon.com/posts/The-App-Installer-130766890
🔗 Requirements - Python, Git, CUDA, C++, FFMPEG, MSVC installation tutorial ⤵️
▶️ https://youtu.be/DrhUHnYfwC0
🔗 SECourses Official Discord 10500+ Members ⤵️
▶️ https://discord.com/servers/software-engineering-courses-secourses-772774097734074388
🔗 Stable Diffusion, FLUX, Generative AI Tutorials and Resources GitHub ⤵️
▶️ https://github.com/FurkanGozukara/Stable-Diffusion
🔗 SECourses Official Reddit - Stay Subscribed To Learn All The News and More ⤵️
▶️ https://www.reddit.com/r/SECourses/
🔗 SUPIR Image Upscaling App Tutorial for Upscaling Images With Really Adding New Details ⤵️
▶️ https://youtu.be/OYxVEvDf284
Tutorial Link : https://youtu.be/HjbD20B2C1g
Hi3DGen is the newest state of the art image to 3D mesh generation model. In this tutorial I will show you step by step how to install and use this amazing open source AI model to generate the very best 3D meshes from static images and use in your projects.
🔗Follow below link to download the zip file that contains App installer - the one used in the tutorial ⤵️
▶️ https://www.patreon.com/posts/The-App-Installer-130766890
🔗 Requirements - Python, Git, CUDA, C++, FFMPEG, MSVC installation tutorial ⤵️
▶️ https://youtu.be/DrhUHnYfwC0
🔗 SECourses Official Discord 10500+ Members ⤵️
▶️ https://discord.com/servers/software-engineering-courses-secourses-772774097734074388
🔗 Stable Diffusion, FLUX, Generative AI Tutorials and Resources GitHub ⤵️
▶️ https://github.com/FurkanGozukara/Stable-Diffusion
🔗 SECourses Official Reddit - Stay Subscribed To Learn All The News and More ⤵️
▶️ https://www.reddit.com/r/SECourses/
🔗 SUPIR Image Upscaling App Tutorial for Upscaling Images With Really Adding New Details ⤵️
▶️ https://youtu.be/OYxVEvDf284
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OpenAI just released a 34-page practical guide to building agents,
Here's 10 things it teaches us:
1➜ agents are different from workflows: they are complete autonomous systems that perform tasks on your behalf. many applications use LLMs for workflows, but this is not an agent.
2➜ use them for tricky stuff: complex decision making, dynamic rules, unstructured data
3➜ core recipe: each agent has three main components: Model (the brain), Tools, Instructions on how to behave
4➜ choose the right brain: set up evals to get a baseline performance, use a smart model to see what's possible, gradually downgrade the model for cost and speed
5➜ tools are key: choose well-defined and tested tools. an agent needs tools to retrieve data and context, and take actions.
6➜ instruction matters A LOT: be super clear telling the agent its goals, steps, and rules. Vague instructions = unpredictable agent. Be explicit.
7➜ start simple, then scale: often a single agent with several tools is ok. don't jump to complex multi-agent systems immediately.
8➜ if you use multi-agents: you can have a "manager" agent directing traffic to specialist agents, or have agents hand off tasks to each other.
9➜ gaurdrails are a MUST: check user input for weird stuff, make sure the agent isn't about to do something risky, filter out private info, block harmful content. Don't let it run wild.
10➜ build and plan for humans: start small, test, improve. always have a plan for when the agent gets stuck or is about to do something high-risk.
Download: https://t.co/fJaCkgf7ph
Here's 10 things it teaches us:
1➜ agents are different from workflows: they are complete autonomous systems that perform tasks on your behalf. many applications use LLMs for workflows, but this is not an agent.
2➜ use them for tricky stuff: complex decision making, dynamic rules, unstructured data
3➜ core recipe: each agent has three main components: Model (the brain), Tools, Instructions on how to behave
4➜ choose the right brain: set up evals to get a baseline performance, use a smart model to see what's possible, gradually downgrade the model for cost and speed
5➜ tools are key: choose well-defined and tested tools. an agent needs tools to retrieve data and context, and take actions.
6➜ instruction matters A LOT: be super clear telling the agent its goals, steps, and rules. Vague instructions = unpredictable agent. Be explicit.
7➜ start simple, then scale: often a single agent with several tools is ok. don't jump to complex multi-agent systems immediately.
8➜ if you use multi-agents: you can have a "manager" agent directing traffic to specialist agents, or have agents hand off tasks to each other.
9➜ gaurdrails are a MUST: check user input for weird stuff, make sure the agent isn't about to do something risky, filter out private info, block harmful content. Don't let it run wild.
10➜ build and plan for humans: start small, test, improve. always have a plan for when the agent gets stuck or is about to do something high-risk.
Download: https://t.co/fJaCkgf7ph
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Introducing Whisper Diarization: Multilingual speech recognition with word-level timestamps and speaker segmentation, running 100% locally in your browser thanks to 🤗 Transformers.js!
Tested on this iconic Letterman interview w/ Grace Hopper from 1983!
- Demo: Xenova/whisper-speaker-diarization
- Source code: Xenova/whisper-speaker-diarization
Tested on this iconic Letterman interview w/ Grace Hopper from 1983!
- Demo: Xenova/whisper-speaker-diarization
- Source code: Xenova/whisper-speaker-diarization
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