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Generative AI technology

Suggesting optimization methods
through cost-effectiveness analysis

Using generative AI, LLM, and sLLM, we quickly find information
and suggest process optimization methods to support efficient decision-making.

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Optimizing LLM (Large-Scale Language Model) performance

We build a private sLLM (Small-Scale Language Model) model with LLM and improve accuracy through fine-tuning that
is optimized for each domain.
We explore ways to increase the effectiveness of invested resources.

  • sLLM SFT/DPO

    A private LLM service based on the sLLM for the Korean language enables low-cost operation and prevents leakage of sensitive corporate data and information.

  • sLLM Fine-Tuning and Optimization

    Language models for various domains such as food, entertainment, distribution, and finance are studied to implement prompt engineering that is optimized for each domain.

  • Language model-based generation technology

    This service creates content in various domains and provides high-quality results through creation-based editing in specific areas.
    It can be used for creation and editing of creative content in fields such as advertising, design, and entertainment.

sLLM fine-tuning and optimization

Pretraining / Fine-tuning

  • Large data
  • Base Model
  • Small data
  • Fine-tuned Model

Language model-based generative techniques

  • Pretrained LM
  • Adaption

  • Tasks

    • Question Answering
    • Text Classification
    • Information Retrieval
    • ...

RAG-based work efficiency

By using the generative AI and cutting-edge information retrieval technology, we quickly find information and suggest process optimization methods to support efficient decision-making

  • Intelligent Search System

    With intelligent search based on generative AI, we eliminate corporate data silos consisting of various unstructured data and help finding the necessary information easily and quickly.

  • Q&A System

    The system learns on its own through various documents and properly understands the type and intent of the user's question to provide optimized answers to the question.

Intelligent Search System

  • Entry of a query for the AI-based search (auto-completion, related search)
  • Integrated search of unstructured document (unstructured document, including online)
  • Conversational AI agent (sLLM-based chatbot)
  • Recommendation of similar documents (Analyze similarity/Make recommendations)

Q&A System

Learning / Operation

  • Document (PDF, Doc, txt, ...)
  • Document loading
  • Document parsing
    • Embedding/learning
    • Sentence embedding >
    • Embedding model
    • Similarity level/index >
      • Question
      • MRC Retriever
      • MRC Reader
      • Answer
  • Pre-trained Model
    • Fine Tuning
    • Similarity level/index >
    • MRC model
    • Top-N recommendation >
      • Question
      • MRC Retriever
      • MRC Reader
      • Answer

Research
papers

  • Jihwan Woo et al., A Study on Korean Poetry Generation System Based on Artificial Intelligence

    DownloadDownload

Patent
applications

  • 10-2023-0118834, Artificial intelligence music content composition apparatus and how to use it to compose music content
  • 10-2022-0181797, Artificial intelligence-based creative phrase generation system and method
  • 10-2023-0191393, Synthetic data generation system for training AI models using generative AI models and creative literature data generation system using synthetic data

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Consent to the Collection and Use of Personal Information (Required)

1. Purpose: Provision of responses for customer inquiries and management of inquiry status
2. Collection Items: Name, contact information, e-mail address, company
3. Retention Period: For 36 months from the date on which the consent is given

You have the right to refuse to provide consent to the collection and use of your personal information. However, please note that if you fail to provide consent, the submission of your inquiry will be restricted.

※ CJ OliveNetworks does not collect the personal information of a minor under the age of 14.
Submit