CLOVA Engineering blog

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    ResearchOn the effect of pre-training corpora on in-context learning by large-scale language model.

    We investigated the effect of the source and size of pre-training corpora on in-context few-shot and zero-shot learning in HyperCLOVA, a Korean AI platform based on GPT-3.

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    Sang-Woo Lee (Conversation / Language Research)May 3, 2022
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    TechOptimization points for HyperCLOVA services

    We would like to share how we have applied multi-batch and tested the caching effect in a multi-turn pattern service to optimize HyperCLOVA-based services.

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    Kim Minsub, Lee Sungjae (Next ML Inference TF)Mar 10, 2022
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    TechExtending the features of HyperCLOVA API

    We would like to share our experience and some examples of how we've implemented the Early Stop, Semantic Search, and P-tuning features for HyperCLOVA-based services.

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    Kim Minsub, Lee Sungjae (Next ML Inference TF)Feb 24, 2022
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    TechHyperCLOVA Serving Framework Selection

    We would like to share our experiences and know-how earned during the process of optimizing HyperCLOVA's inference performance by changing the transformer framework.

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    Kim Minsub, Lee Sungjae (Next ML Inference TF)Jan 5, 2022

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Technical Research SpecialistAI Software Engineer

Recent Posts

  • post thumbnail
    On the effect of pre-training corpora on in-context learning by large-scale language model.

    We investigated the effect of the source and size of pre-training corpora on in-context few-shot and zero-shot learning in HyperCLOVA, a Korean AI platform based on GPT-3.

    profile
    Sang-Woo Lee (Conversation / Language Research)May 3, 2022
  • post thumbnail
    Optimization points for HyperCLOVA services

    We would like to share how we have applied multi-batch and tested the caching effect in a multi-turn pattern service to optimize HyperCLOVA-based services.

    profile
    profile
    Kim Minsub, Lee Sungjae (Next ML Inference TF)Mar 10, 2022
  • post thumbnail
    Extending the features of HyperCLOVA API

    We would like to share our experience and some examples of how we've implemented the Early Stop, Semantic Search, and P-tuning features for HyperCLOVA-based services.

    profile
    profile
    Kim Minsub, Lee Sungjae (Next ML Inference TF)Feb 24, 2022
  • post thumbnail
    HyperCLOVA Serving Framework Selection

    We would like to share our experiences and know-how earned during the process of optimizing HyperCLOVA's inference performance by changing the transformer framework.

    profile
    profile
    Kim Minsub, Lee Sungjae (Next ML Inference TF)Jan 5, 2022

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