[SK TECH SUMMIT 2023] LLM 적용 방법인 RAG VS PEFT, Domain 적용 승자는?

Summary

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Takeaways

• 😀 LLM (Large Language Models) are essential for enhancing content generation and automation across various industries.
• 😀 SK Broadband has successfully incorporated LLM in its operations, improving both internal and customer-facing services.
• 😀 A Proof of Concept (POC) phase demonstrated the power of LLM to handle large-scale content production and customer interactions.
• 😀 The major challenge faced during the POC was fine-tuning LLM models to handle specific tasks effectively while maintaining quality and relevance.
• 😀 Data quality is a key factor in fine-tuning the LLM; gathering clean, structured data is crucial for optimal performance.
• 😀 Prompt engineering is a fundamental aspect of using LLM, ensuring that the prompts are optimized for specific use cases.
• 😀 Generating high-quality, diverse training data through augmentation techniques helps improve LLM accuracy and applicability.
• 😀 Customizing and fine-tuning models based on SK Broadband's unique needs leads to more efficient and targeted results.
• 😀 The LLM's ability to learn from user interactions enables continuous improvement and adaptation, making it a valuable tool for long-term growth.
• 😀 Overall, the integration of LLM into SK Broadband's operations has significantly improved both efficiency and customer satisfaction.

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