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TUNIB

#6782 COMPANY RANKING

우리는 머지 않은 미래에 가상세계에서 사람들이 자신의 아바타로 여러 디지털 휴먼들과 대화를 나누게 될 거라 믿습니다. 우리는 그러한 각...

http://www.tunib.ai/

11-50 emps

Since 2021

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#chatbots #machine-learning

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TUNIB

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EVERGREEN INDEX #6782

TUNiB's stories on HackerNoon

Technology evolves every day, impacting our lives more and more. Don’t miss out on the tech of tomorrow via these remarkable technology stories.

Startups of The Year 2024 Winners: Asia

Startups of The Year 2024 Winners: Asia

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AI-Driven Database Tuning: Faster Index Selection with IA2 and TD3-TD-SWAR

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Instruction Tuning and Custom Instruction Libraries: Your Model’s Real ‘Operating Manual

Instruction Tuning and Custom Instruction Libraries: Your Model’s Real ‘Operating Manual

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Adaptive Action Masking: Accelerating Decision-Making in Database Tuning

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Stop Fine-Tuning Everything: Inject Knowledge with Few‑Shot In‑Context Learning

Stop Fine-Tuning Everything: Inject Knowledge with Few‑Shot In‑Context Learning

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Beating Full Fine-Tuning with Just 0.2% of Parameters

Beating Full Fine-Tuning with Just 0.2% of Parameters

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The Role of Consistency and Sharing in Efficient Fine-Tuning

The Role of Consistency and Sharing in Efficient Fine-Tuning

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Smarter Fine-Tuning for NLU and NLG Tasks

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How Mixture-of-Adaptations Makes Language Model Fine-Tuning Cheaper and Smarter

How Mixture-of-Adaptations Makes Language Model Fine-Tuning Cheaper and Smarter

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Boost Few-Shot Instance Accuracy 12% Without Fine-Tuning

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Cut 90% of Fine-Tuning Cost—Still Beat Baselines on Text and Vision Benchmarks

Cut 90% of Fine-Tuning Cost—Still Beat Baselines on Text and Vision Benchmarks

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Cut Fine-Tuning Cost: Adapt LMs to Multi-Modal Tasks with <1% New Params

Cut Fine-Tuning Cost: Adapt LMs to Multi-Modal Tasks with <1% New Params

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