LLM（大规模语言模型）：引领东南亚市场人工智慧的采用

本报告提供东南亚的LLM (大规模语言模式) 的市场调查，彙整各种企业区分·产业上LLM的用途，AI引进趋势，LLM的实行的优点与课题，LLM的使用案例等资料。

实用的优点:

• 确定推动东南亚人工智慧创新和发展的关键法学硕士
• LLM招募策略，LLM各项主要指标与优势可优化
• 透过确定东南亚领先的多语言和双语解决方案，为您的法学硕士招募策略制定可行的计划

重要问题的答案：

• 东南亚的人工智慧和法学硕士前景如何演变？
• 每个法学硕士在实施过程中面临哪些好处与挑战？
• 您所在地区有哪些创新公司正在实施智慧製造解决方案？

研究亮点：

• 法学硕士在各公司和行业的应用
• 东南亚地区主要多语及双文法硕士综合分析
• 法学硕士发展需求的区域趋势

目录

第1章 主要调查结果

第2章 重要的概述

第3章 东南亚固有的多言语LLM

• SEA-LION
• SEALLM
• COMPASSLLM
• SAILOR

第4章 东南亚独有的双文法硕士

• VINALLAMA
• TYPHOON

第5章 使用案例:固有的LLM

• WIZAI
• CLIMIND

第6章 用途

Actionable Benefits:

• Identify key Large Language Models (LLMs) driving Southeast Asian Artificial Intelligence (AI) innovation and development.
• Optimize LLM adoption strategy and key metrics and strengths of different LLMs.
• Supports actionable planning for LLM adoption strategies by identifying key multilingual and bilingual solutions in Southeast Asia.

Critical Questions Answered:

• How is the AI and LLM landscape in Southeast Asia evolving?
• What advantages and challenges does each LLM face in implementation?
• Who are some of the innovative regional players implementing smart manufacturing solutions?

Research Highlights:

• LLM applications in various enterprise verticals.
• Comprehensive analysis of key multilingual and bilingual LLMs in the Southeast Asian region.
• Regional trends in LLM development demands.

Who Should Read This?

• Innovation leaders for AI development who want to understand the regional growth demands.
• Key government decision makers looking to develop or implement multilingual or bilingual LLMs in their roadmaps.
• Hardware or software players looking to develop partnerships with key LLM developers in Southeast Asia.

TABLE OF CONTENTS

1 KEY FINDINGS

2 KEY SNAPSHOT

3 SOUTHEAST ASIA-SPECIFIC MULTILINGUAL LLMS

• 3.1 SEA-LION
• 3.2 SEALLM
• 3.3 COMPASSLLM
• 3.4 SAILOR

4 SOUTHEAST ASIA-SPECIFIC BILINGUAL LLMS

• 4.1 VINALLAMA
• 4.2 TYPHOON

5 USE CASE-SPECIFIC LLMS

• 5.1 WIZAI
• 5.2 CLIMIND

6 APPLICATIONS