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μ½œλž™μ…˜ ν”„λ ˆμž„μ›Œν¬ κ°•μ’Œ 예제

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πŸ‘¦ πŸ‘§ Technical-Interview guidelines written for those who started studying programming. I wish you all the best. πŸ‘Ύ

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πŸ‘ΆπŸ» μ‹ μž… 개발자 전곡 지식 & 기술 λ©΄μ ‘ 백과사전 πŸ“–

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μ•ŒνŠœλΉ„νŠœ 6기의 κ°•μ˜μžλ£Œμ™€ 과제 μƒ˜ν”Œ μ½”λ“œλ₯Ό μ—…λ‘œλ“œν•©λ‹ˆλ‹€.

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An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks

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Collection for Few-shot Learning

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πŸ“– Korean NLU Benchmark

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Must-read papers on prompt-based tuning for pre-trained language models.

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πŸ”₯ The fastest and powerful Python library for Instagram Private API 2025 with HikerAPI SaaS

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An Open-Source Framework for Prompt-Learning.

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[WWW 2022] KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction

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Official Code for "PPT: Pre-trained Prompt Tuning for Few-shot Learning". ACL 2022

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On Transferability of Prompt Tuning for Natural Language Processing

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Original Implementation of Prompt Tuning from Lester, et al, 2021

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Prefix-Tuning: Optimizing Continuous Prompts for Generation

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μ£Όλ‹ˆμ–΄ 개발자 μ±„μš© 정보

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{ 고퀄리티 ⚑ 개발 컨텐츠 λͺ¨μŒ }

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