How have LLMs been evolving in Asia?
Generation Details
| Date | LLM | Access Method |
|---|---|---|
| Nov 2024 |  |
Web UI |
Your query was: "Please provide an outline of the main LLMs developed to date by Asian companies and researchers."
Based on the information gathered, I have generated a table that outlines the main large language models (LLMs) developed by Asian companies and researchers. You can reference this table for details about the models, their developers, capabilities, and notable applications.
The table provides a comprehensive overview of LLMs such as SEA-LION, Tongyi Qianwen, SeaLLM, and others developed by organizations like AI Singapore, Alibaba Group, and alt Inc. These models focus on linguistic diversity across Asia, especially in Southeast Asia, and are designed for various applications including translation services, chatbots, meeting summarization, and more.
For a detailed view of these models and their specific features, please refer to the table provided in the search results.
| SEA-LION | AI Singapore | Launched in December 2023 as part of a S$70 million initiative by the Singapore government to develop Southeast Asia's first LLM targeting linguistic diversity. | Supports 11 languages (including Indonesian, Thai, Vietnamese, Filipino, and others) and utilizes a custom SEABPETokenizer specifically designed for Southeast Asian languages. | Used for AI tools like chatbots, coding assistants, and meeting summarizers, focusing on making AI accessible to businesses in the SEA region. |
|---|---|---|---|---|
| 12 | 13 | 13 | 14 | |
| SeaLLM | Alibaba DAMO Academy | Released in December 2023, designed for Southeast Asia's linguistic diversity with support for multiple local languages. | Supports languages including Vietnamese, Indonesian, Thai, Malay, Khmer, Lao, Tagalog, and Burmese. Designed for understanding cultural nuances and local customs. | Used in chatbots and translation services, catering to Southeast Asian languages and cultural context. |
| 19 | 20 | 21 | 22 |
The above text was generated by a large language model (LLM) and its accuracy has not been validated. This page is part of 'LLMs-on-LLMs,' a Github repository by Daniel Rosehill which explores how curious humans can use LLMs to better their understanding of LLMs and AI. However, the information should not be regarded as authoritative and given the fast pace of evolution in LLM technology will eventually become deprecated. This footer was added at 16-Nov-2024.