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README.md

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-short_description: We are AI researchers from MAUM.AI brain.
+short_description: We are AI researchers from MAUM.AI
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-## About us
+## About us 
 
-We are AI researchers from [**MAUM.AI brain**](https://maum-ai.github.io). Our team uses over 64 H100 (8 DGX-H100) and A100 units for work.
+This is the organization of MAUM.AI. We have two research groups, [**MAUM.AI Brain Team**](https://maum-ai.github.io) and [**WoRV Team**](https://worv.ghost.io/).
 
-## WE ARE HIRING
+### Brain Team 🧠
+The Brain Team focuses on the development of cutting-edge models across various domains, including:
+- Large Language Models (LLMs)
+- Large Vision-Language Models (VLMs)
+- Text-to-Speech (TTS) Models
+- Automatic Speech Recognition (ASR) Models
 
-CV(Computer Vision), NLP, AUDIO(TTS/STT), ML(model&serving optimization) (전문연/산기요 가능)\
-A yearly salary of **at least 50,000,000 KRW** is offered for AI/ML engineers.\
-One of the great aspects of our team is that **you can allocate half of your work hours to General Research!** \
-You can find more information by clicking the link provided below. (Updated at 2024/04/30)
+We are releasing the MAAL series, a suite of LLMs and VLMs that are purpose-built for Koreans to advance Korean open models.
 
-**https://maum-ai.github.io/careers**
+### WoRV Team 🚗
+The WoRV Team (World Model for Robotics and Vehicle Control) is dedicated to building embodied foundation models to solve complex challenges in robotics and autonomous driving.
 
-[We are also hiring AI research scientist in WoRV team.](https://stingy-laser-8fa.notion.site/Machine-Learning-Research-Scientist-Embodied-AI-Division-5156ca47ac1646ad961405d7d0080b50)
-WoRV(World model for Robotics and Vehicle control) aims to build Embodied foundation model and solve robotics & autonomous driving problem.
+Recent Achievement:
+- CANVAS: A novel framework for commonsense-aware robot navigation that excels in both simulated and real-world environments.
+
+Together, our teams are advancing the frontiers of AI research and innovation, driving the evolution of intelligent systems for the future.