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¼¼°èÀÇ LLM(´ë±Ô¸ð ¾ð¾î ¸ðµ¨) : µ¿³²¾Æ½Ã¾Æ ½ÃÀå¿¡¼­ÀÇ AI µµÀÔ ÁÖµµ

The LLMs Driving AI Adoption in the Southeast Asian Market

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ÀÌ º¸°í¼­´Â µ¿³²¾Æ½Ã¾ÆÀÇ LLM(´ë±Ô¸ð ¾ð¾î ¸ðµ¨) ½ÃÀåÀ» Á¶»çÇßÀ¸¸ç, ´Ù¾çÇÑ ±â¾÷ ºÎ¹® ¹× »ê¾÷¿¡¼­ÀÇ LLM Ȱ¿ë, AI µµÀÔ µ¿Çâ, LLM ±¸ÇöÀÇ ÀåÁ¡°ú °úÁ¦, LLMÀÇ ÀÌ¿ë »ç·Ê µîÀ» Á¤¸®Çß½À´Ï´Ù.

½Ç¿ëÀûÀÎ ÀåÁ¡:

  • µ¿³²¾Æ½Ã¾Æ¿¡¼­ AI Çõ½Å°ú ¹ßÀüÀ» ÁÖµµÇÏ´Â ÁÖ¿ä LLMÀ» ½Äº°ÇÒ ¼ö ÀÖ½À´Ï´Ù.
  • LLM ä¿ë Àü·«, ´Ù¾çÇÑ LLMÀÇ ÁÖ¿ä ÁöÇ¥¿Í °­Á¡À» ÃÖÀûÈ­ ÇÒ ¼ö ÀÖ½À´Ï´Ù.
  • µ¿³²¾Æ½Ã¾ÆÀÇ ÁÖ¿ä ´Ù±¹¾î ¹× ÀÌÁß ¾ð¾î ¼Ö·ç¼ÇÀ» ÆÄ¾ÇÇÏ¿© LLM ä¿ë Àü·«ÀÇ ½ÇÇà °¡´ÉÇÑ °èȹÀ» Áö¿øÇÕ´Ï´Ù.

Áß¿äÇÑ Áú¹®¿¡ ´ëÇÑ ´äº¯ :

  • µ¿³²¾Æ½Ã¾ÆÀÇ AI¿Í LLMÀÇ »óȲÀº ¾î¶»°Ô ÁøÈ­Çϰí Àִ°¡?
  • °¢ LLMÀÌ ±¸ÇöÇÒ ¶§ Á÷¸éÇÏ´Â ÀåÁ¡°ú °úÁ¦´Â?
  • ½º¸¶Æ® Á¦Á¶ ¼Ö·ç¼ÇÀ» µµÀÔÇϰí ÀÖ´Â Áö¿ª Çõ½Å ±â¾÷Àº?

Á¶»ç ÇÏÀ̶óÀÌÆ®:

  • °¢Á¾ ±â¾÷ ¹× »ê¾÷ºÐ¾ß¿¡¼­ÀÇ LLM Ȱ¿ë
  • µ¿³²¾Æ½Ã¾Æ Áö¿ªÀÇ ÁÖ¿ä ´Ù±¹¾î ¹× ÀÌÁß¾ð¾î LLM¿¡ ´ëÇÑ Á¾ÇÕÀûÀÎ ºÐ¼®
  • LLM °³¹ß ¼ö¿äÀÇ Áö¿ª µ¿Çâ

¸ñÂ÷

Á¦1Àå ÁÖ¿ä Á¶»ç °á°ú

Á¦2Àå Áß¿ä ÇöȲ

Á¦3Àå µ¿³²¾Æ½Ã¾Æ °íÀ¯ÀÇ MULTILINGUAL LLMS

  • SEA-LION
  • SEALLM
  • COMPASSLLM
  • SAILOR

Á¦4Àå µ¿³²¾Æ½Ã¾Æ °íÀ¯ÀÇ BILINGUAL LLMS

  • VINALLAMA
  • TYPHOON

Á¦5Àå ÀÌ¿ë »ç·Ê : °íÀ¯ÀÇ LLM

  • WIZAI
  • CLIMIND

Á¦6Àå ¿ëµµ

LSH 24.09.12

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

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