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@exynos

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#motivation #HODL
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PEFT (Parameter-Efficient Fine-Tuning) is a technique that optimizes the fine-tuning process by adjusting only a small portion of model parameters. This approach reduces memory usage and computational costs, making it faster and more efficient to adapt large language models (LLMs) for specific tasks without requiring massive resources. Reference: https://huggingface.co/docs/peft/en/index #AI #ML #LLMs #NLP
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Some of the PEFT (parameter-efficient fine-tuning) methods to reduce training cost: - LORA: Low-Rank Adaptation - DORA: Weight-Decomposed Low-Rank Adaption Reference: https://developer.nvidia.com/blog/introducing-dora-a-high-performing-alternative-to-lora-for-fine-tuning/ #dev #ml #deeplearning #llm #web3
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JOIN the $PAWS on Telegram ๐Ÿ•๐Ÿถ๐Ÿพ https://t.me/PAWSOG_bot/PAWS?startapp=lrXlzS1Y LFG! PAWS is the new top dog! ๐Ÿพ
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JOIN the $PAWS on Telegram https://t.me/PAWSOG_bot/PAWS?startapp=lrXlzS1Y LFG! PAWS is the new top dog! ๐Ÿพ #Airdrop #Alpha
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GM friends
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Just minted my Guild Pin for joining Base Guild! guild.xyz/base
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Flux Powered AI Art
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Gn โค๏ธ
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GN โค๏ธ
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