Thread by @_aigeek

Have you heard about Otter: A Multi-Modal AI Model with In-Context Instruction Tuning? This cutting-edge model leverages a large-scale dataset called MIMIC-IT to achieve state-of-the-art performances in perception and reasoning benchmarks. @Microsoft @NTUsg #AI
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🤖 Otter is not your average AI model. With 2.8 million multimodal instruction-response pairs, Otter demonstrates remarkable proficiency in multi-modal perception, reasoning, and in-context learning. It effectively aligns with the user's intentions. #MultiModal #AI

📈 The MIMIC-IT dataset, instruction-response collection pipeline, benchmarks, and the Otter model are all available for use. This means that Otter can be applied to a variety of industries, from healthcare to finance, to improve perception, reasoning, and planning. #DataScience

🔍 To improve the instruction collection, more trustworthy language models or generation techniques are being considered. As AI continues to evolve, models like Otter will play a critical role in shaping the future. #MachineLearning #FutureTech

💡 Actionable advice: If you're in the tech industry, keep an eye on Otter and its developments. As AI models become more advanced, it's important to stay up-to-date with the latest trends and tools. Otter is a game-changer and is paving the way for the future of AI. #TechTrends

You can read the full paper here.👀
otter-ntu.github.io

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