Atomic-man007/Awesome_Multimodel_LLM
Awesome_Multimodel is a curated GitHub repository that provides a comprehensive collection of resources for Multimodal Large Language Models (MLLM). It covers datasets, tuning techniques, in-context learning, visual reasoning, foundational models, and more. Stay updated with the latest advancement.
This collection helps AI researchers and practitioners stay current with the rapidly evolving field of Multimodal Large Language Models (MLLMs). It provides a structured list of papers and datasets covering areas like instruction tuning, in-context learning, and visual reasoning. Researchers and developers working on advanced AI applications that combine language with other data types (like images or video) would use this resource.
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Use this if you are an AI researcher or developer actively working with Multimodal Large Language Models and need a curated, up-to-date reference for new techniques, foundational models, and datasets.
Not ideal if you are looking for a beginner-friendly introduction to large language models or a hands-on guide for implementing an MLLM from scratch.
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Mar 19, 2025
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