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Korean-specific large language model

LLaMON
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WHAT IS LLaMON?
A large language model trained
on a Korean corpus of over 2 billion words.
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WHY LLaMON?
We make it easy for anyone to develop services
using domain-optimized large language models.
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WHY LLaMON?
Large language models that enable language
understanding and natural language generation
It provides an large language model that can be used for natural language
processing by learning large amounts of domain data.
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  • High-quality natural language processing based on deep learning

    • It utilizes the latest machine learning and artificial neural network technologies to deliver faster, higher performance than traditional algorithms, and enables high-quality natural language processing.

  • Apply the latest language models

    • It supports the ability to build large training data separately and provides language models according to the language characteristics of various fields by utilizing dictionaries and rules specialized for each domain in addition to common dictionaries.

  • Ease of domain adoption

    • Provide proven language models such as BERT, BART, GPT, and Llama 2, and build domain-specific language models by providing language models trained with various Korean data.

  • GUI-based model creation and management

    • It provides a Graphic User Interface that makes it easy for anyone to create and manage giant language models.
WHY LLaMON?
Providing the domain-specific language model
It utilizes pre-trained model-based transfer learning to train tasks and provides users with the optimal model
that demonstrates the highest performance through model quality evaluation.
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    Text classification

    Provide the ability to categorize entered text into categories predefined by the user
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    Text summarization

    Provide text summarization models to match user-defined summarization styles
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    Sentence embedding

    Embed sentences to better understand what they mean, as well as the ability to find similar sentences
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    Machine translation

    Create domain-specific language models in the language of user want
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    Named-entity recognition

    Named-entity recognition in information retrieval and interactive systems that require accuracy
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    Q&A

    Enables users to configure data-optimized Q&A models for domain-specific chatbot services
Use Case
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BROCHURE
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