title: Typhoon T1: An Open Thai Reasoning Model
summary: This paper introduces Typhoon T1, an open effort to develop an open Thai
  reasoning model. A reasoning model is a relatively new type of generative model
  built on top of large language models (LLMs). A reasoning model generates a
  long chain of thought before arriving at a final answer, an approach found to
  improve performance on complex tasks. However, details on developing such a
  model are limited, especially for reasoning models that can generate traces in
  a low-resource language. Typhoon T1 presents an open effort that dives into the
  details of developing a reasoning model in a more cost-effective way by
  leveraging supervised fine-tuning using open datasets, instead of reinforcement
  learning. This paper shares the details about synthetic data generation and
  training, as well as our dataset and model weights. Additionally, we provide
  insights gained from developing a reasoning model that generalizes across
  domains and is capable of generating reasoning traces in a low-resource
  language, using Thai as an example. We hope this open effort provides a
  foundation for further research in this field.
paper_authors._id: 67aea8c94d4cb38be4a40c55
paper_authors.name: Pittawat Taveekitworachai
paper_authors.status: claimed_verified
paper_authors.statusLastChangedAt: 2025-02-14T08:01:24.073Z
paper_authors._id: 615313b0793ef66b3324da1f
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paper_authors.fullname: Pittawat Taveekitworachai
paper_authors.type: user
paper_authors.user: pittawat
paper_authors._id: 67aea8c94d4cb38be4a40c56
paper_authors.name: Potsawee Manakul
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2025-02-14T12:48:21.806Z
paper_authors._id: 63f6a050b4c9a104f4b95755
paper_authors.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/63f6a050b4c9a104f4b95755/eJQyJkenSz536j-EGcpkH.jpeg
paper_authors.fullname: Potsawee Manakul
paper_authors.type: user
paper_authors.user: potsawee
paper_authors._id: 67aea8c94d4cb38be4a40c57
paper_authors.name: Kasima Tharnpipitchai
paper_authors._id: 67aea8c94d4cb38be4a40c58
paper_authors.name: Kunat Pipatanakul
paper_authors.status: claimed_verified
paper_authors.statusLastChangedAt: 2025-02-14T12:41:14.906Z
paper_authors._id: 62d192c2d50433c35eb1b48e
paper_authors.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/62d192c2d50433c35eb1b48e/VjmDu8GOIuLuQNBQdQLLS.png
paper_authors.fullname: Kunat Pipatanakul
paper_authors.type: user
paper_authors.user: kunato
paper_title: Typhoon T1: An Open Thai Reasoning Model
paper_summary: This paper introduces Typhoon T1, an open effort to develop an open Thai
  reasoning model. A reasoning model is a relatively new type of generative model
  built on top of large language models (LLMs). A reasoning model generates a
  long chain of thought before arriving at a final answer, an approach found to
  improve performance on complex tasks. However, details on developing such a
  model are limited, especially for reasoning models that can generate traces in
  a low-resource language. Typhoon T1 presents an open effort that dives into the
  details of developing a reasoning model in a more cost-effective way by
  leveraging supervised fine-tuning using open datasets, instead of reinforcement
  learning. This paper shares the details about synthetic data generation and
  training, as well as our dataset and model weights. Additionally, we provide
  insights gained from developing a reasoning model that generalizes across
  domains and is capable of generating reasoning traces in a low-resource
  language, using Thai as an example. We hope this open effort provides a
  foundation for further research in this field.
paper_ai_keywords: reasoning model generative model large language models (LLMs) chain of thought performance low-resource language supervised fine-tuning synthetic data generation training generalizes across domains reasoning traces