nextjs-notion-starter
lora
nextjs-notion-starter | lora | |
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2 | 83 | |
- | 6,642 | |
- | - | |
- | 0.0 | |
- | about 2 months ago | |
Jupyter Notebook | ||
- | Apache License 2.0 |
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nextjs-notion-starter
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Using Stable Diffusion techniques to create 2D game environments
I love coming across a great blog like this an realizing it was built using two of my open source repos:
- https://github.com/transitive-bullshit/nextjs-notion-starter...
- https://github.com/NotionX/react-notion-x
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Ask HN: Share Your Personal Site
https://transitivebullsh.it
It's powered by Notion as a CMS, react-notion-x, Next.js, and Vercel.
I published an open source starter kit so anyone can easily create similar sites: https://github.com/transitive-bullshit/nextjs-notion-starter...
lora
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You can now train a 70B language model at home
Diffusion unet has an "extended" version nowadays that applies to the resnet part as well as the cross-attention: https://github.com/cloneofsimo/lora
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How it feels right now
Absolutely. But that doesn't matter because you only have to train it at scale, once. There are papers released already that show it's possible to update weights in small sections. You won't have to wait for the next monolithic LLM to drop to get up to date information. It will start to learn in bits and pieces.
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LoRA tuning in julia
No, it's a deep learning thing
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What does Lora mean?
Low Rank Adaptation of Large Language Models.
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[D] An ELI5 explanation for LoRA - Low-Rank Adaptation.
Recently, I have seen the LoRA technique (Low-Rank Adaptation of Large Language Models) as a popular method for fine-tuning LLMs and other models.
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Combining LoRA, Retro, and Large Language Models for Efficient Knowledge Retrieval and Retention
Enter LoRA, a method proposed for adapting pre-trained models to specific tasks[2]. By freezing pre-trained model weights and injecting trainable rank decomposition matrices into the transformer architecture, LoRA can reduce the number of trainable parameters and the GPU memory requirement, making the adaptation of LLMs for downstream tasks more feasible.
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100K Context Windows
Open-source LLM projects have largely solved this using Low-Rank Adaptation of Large Language Models (LoRA): https://arxiv.org/abs/2106.09685
Apparently an RTX 4090 running overnight is sufficient to produce a fine-tuned model that can spit out new Harry Potter stories, or whatever...
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President Biden meets with AI CEOs at the White House amid ethical criticism
Alpaca was trained for $600 ($100 for the smaller model) and offers outputs competitive with ChatGTP. https://arxiv.org/abs/2106.09685
- LoRA: Low-Rank Adaptation of Large Language Models
- LORA: Low-Rank Adaptation of Large Language Models
What are some alternatives?
ultra-weather - UltraWeather gives user-friendly, actionable weather forecasts.
stable-diffusion-webui - Stable Diffusion web UI
Publish - A static site generator for Swift developers
LyCORIS - Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion.
jetson-nano-image - Create minimalist, Ubuntu based images for the Nvidia jetson boards [Moved to: https://github.com/pythops/jetson-image]
sd_dreambooth_extension
Hugo - The world’s fastest framework for building websites.
kohya-trainer - Adapted from https://note.com/kohya_ss/n/nbf7ce8d80f29 for easier cloning
gutenberg - A fast static site generator in a single binary with everything built-in. https://www.getzola.org
ControlNet - Let us control diffusion models!
Metalsmith - An extremely simple, pluggable static site generator for Node.js
sd-webui-additional-networks