Innovation Owner
Mr. PHAKKAWAT ANGSRISURAPORN
Student
Details
The offline evaluation system for Thai-language LLMs enables experts to efficiently test and assess models without external services, ensuring high data security and flexibility.
The offline evaluation system for Thai-language large language models (LLMs) is designed to enable experts to efficiently test and assess various LLMs without relying on external services. This enhances the flexibility in selecting LLMs that best suit organizational needs or expert systems (ES). The system operates on personal computers, ensuring data security by eliminating concerns about external data storage. Additionally, it supports model testing and development using Retrieval-Augmented Generation (RAG), allowing access to domain-specific knowledge for accurate, energy-efficient processing. This ensures that the models can perform optimally and effectively meet the demands of organizations and expert systems.
Objective
To develop an offline evaluation system for Thai LLMs that allows organizations to test, compare, and analyze models securely on local hardware using RAG techniques.
To develop an offline evaluation system for Thai-language Large Language Models (LLMs) that enables organizations and developers to systematically test, compare, and analyze LLMs. This system is designed to operate on personal computers or within an organization without relying on external providers, thereby enhancing data security. It also supports model development using Retrieval-Augmented Generation (RAG) techniques, allowing models to access domain-specific information accurately. Users can test and select the most suitable language models for their specific tasks efficiently.