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Summary of Typhoon 2: a Family Of Open Text and Multimodal Thai Large Language Models, by Kunat Pipatanakul et al.


Typhoon 2: A Family of Open Text and Multimodal Thai Large Language Models

by Kunat Pipatanakul, Potsawee Manakul, Natapong Nitarach, Warit Sirichotedumrong, Surapon Nonesung, Teetouch Jaknamon, Parinthapat Pengpun, Pittawat Taveekitworachai, Adisai Na-Thalang, Sittipong Sripaisarnmongkol, Krisanapong Jirayoot, Kasima Tharnpipitchai

First submitted to arxiv on: 18 Dec 2024

Categories

  • Main: Computation and Language (cs.CL)
  • Secondary: Artificial Intelligence (cs.AI)

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Summary difficulty Written by Summary
High Paper authors High Difficulty Summary
Read the original abstract here
Medium GrooveSquid.com (original content) Medium Difficulty Summary
The paper introduces Typhoon 2, a series of large language models optimized for the Thai language. The series includes models for text, vision, and audio, building on state-of-the-art open models like Llama 3 and Qwen2. The text model, Typhoon2-Text, is pre-trained on English and Thai data and enhanced with post-training techniques to improve Thai performance while preserving original capabilities. The paper releases text models in various sizes, from 1 to 70 billion parameters, as well as instruction-tuned variants. Additionally, the paper introduces Typhoon2-Safety, a classifier for guarding text generation, and Typhoon2-Vision, which improves document understanding, and Typhoon2-Audio, an end-to-end speech-to-speech model.
Low GrooveSquid.com (original content) Low Difficulty Summary
Typhoon 2 is a new series of language models designed specifically for Thai. It includes models that can process text, images, and audio. The main idea behind this paper is to make language models better at understanding Thai culture and language. To do this, the researchers used existing models as a starting point and then trained them on both English and Thai data. They also created special tools to help the models generate safe and accurate text. There are different sizes of these models, ranging from small to very large. The paper also introduces new models that can understand images and audio, and even translate between different formats.

Keywords

» Artificial intelligence  » Llama  » Text generation