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LoRA explained (and a bit about precision and quantization)

▬▬ Papers / Resources ▬▬▬ LoRA Paper: https://arxiv.org/abs/2106.09685 QLoRA Paper: https://arxiv.org/abs/2305.14314 Huggingface 8bit intro: https://huggingface.co/blog/hf-bitsan... PEFT / LoRA Tutorial: https://www.philschmid.de/fine-tune-f... Adapter Layers: https://arxiv.org/pdf/1902.00751.pdf Prefix Tuning: https://arxiv.org/abs/2101.00190 ▬▬ Support me if you like 🌟 ►Link to this channel: https://bit.ly/3zEqL1W ►Support me on Patreon: https://bit.ly/2Wed242 ►Buy me a coffee on Ko-Fi: https://bit.ly/3kJYEdl ►E-Mail: [email protected] ▬▬ Used Music ▬▬▬▬▬▬▬▬▬▬▬ Music from #Uppbeat (free for Creators!): https://uppbeat.io/t/danger-lion-x/fl... License code: M4FRIPCTVNOO4S8F ▬▬ Used Icons ▬▬▬▬▬▬▬▬▬▬ All Icons are from flaticon: https://www.flaticon.com/authors/freepik ▬▬ Timestamps ▬▬▬▬▬▬▬▬▬▬▬ 00:00 Introduction 00:20 Model scaling vs. fine-tuning 00:58 Precision & Quantization 01:30 Representation of floating point numbers 02:15 Model size 02:57 16 bit networks 03:15 Quantization 04:20 FLOPS 05:23 Parameter-efficient fine tuning 07:18 LoRA 08:10 Intrinsic Dimension 09:20 Rank decomposition 11:24 LoRA forward pass 11:49 Scaling factor alpha 13:40 Optimal rank 14:16 Benefits of LoRA 15:20 Implementation 16:25 QLoRA ▬▬ My equipment 💻 Microphone: https://amzn.to/3DVqB8H Microphone mount: https://amzn.to/3BWUcOJ Monitors: https://amzn.to/3G2Jjgr Monitor mount: https://amzn.to/3AWGIAY Height-adjustable table: https://amzn.to/3aUysXC Ergonomic chair: https://amzn.to/3phQg7r PC case: https://amzn.to/3jdlI2Y GPU: https://amzn.to/3AWyzwy Keyboard: https://amzn.to/2XskWHP Bluelight filter glasses: https://amzn.to/3pj0fK2