To demonstrate the effectiveness of CulturalGround, we fine-tune an existing multimodel model Pangea on a subset of the dataset. The resulting model achieves state-of-the-art performance for its model size on multiple cultural benchmarks in PangeaBench and other benchmarks. Below
MACHINE LEARNING
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CulturalPangea Excels in Multilingual and English Performance
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CulturalPangea not only achieves good performance on multilingual cultural understanding, but also perform well on English, and overall.
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CulturalGround: Building Inclusive Multimodal LLMs for Global Contexts
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Current multimodal LLMs excel in English and Western contexts but struggle with cultural knowledge from underrepresented regions and languages. How can we build truly globally inclusive vision-language models? We are introducing CulturalGround, a large-scale dataset with 22M
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CulturalGround: Scalable Multilingual VQA Data Pipeline from Wikidata
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CulturalGround data construction: We designed a scalable pipeline to create culturally grounded multilingual VQA data from Wikidata, a structured knowledge base. Our data curation pipeline:
– Cultural Entity Selection: Extract 3M+ culturally relevant entities from Wikidata -
Meta’s Focus on Geometric Computer Vision for Spatial Video Capture
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There have been a lot of crazy many-camera rigs created for the purpose of capturing full spatial video. I recall a conversation at Meta that was basically “we are going to lean in as hard as possible on classic geometric computer vision before looking at machine learning
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Embodied Intelligence and AI Systems Interacting with Physical World
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Ask us your questions about embodied intelligence or AI systems that interact w/the world. We’re featuring a few in an upcoming explainer w/MIT prof. Vincent Sitzmann (
@vincesitzmann
). For more on his work: https://
vincentsitzmann.com -
Top Artificial Intelligence Books for Career Growth and Learning
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Explore TOP #Artificialintelligence Books for reading, learning, growing your knowledge and advancing your career: http://
amzn.to/2YRE6Sj
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#DataScience #DataMining #MachineLearning #AI #DeepLearning #Mathematics #GenerativeAI #LLMs #Algorithms #DataScientist #Python -
Learn Quantum Computing with Python and IBM Quantum Platform
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Learn #QuantumComputing with #Python and IBM Quantum — Write your own practical quantum programs with Python [2nd Edition]: http://
amzn.to/3F3PdlD via @PacktDataML ——
𝓦𝓱𝓪𝓽 𝓨𝓸𝓾 𝓦𝓲𝓵𝓵 𝓛𝓮𝓪𝓻𝓷: Get familiar with the features within the IBM Quantum Platform -
LLM Engineer’s Handbook: Master Large Language Models from Concept to Production
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LLM Engineer's Handbook — Master the art of engineering Large Language Models #LLMs from concept to production: http://
amzn.to/4dUQrv6 v/ @PacktDataML Implement robust data pipelines and manage LLM training cycles Create your own LLM and refine with the help of hands-on -
Machine Learning Techniques for Handling Imbalanced Data
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#MachineLearning & #DeepLearning Techniques for Handling Imbalanced Data: http://
amzn.to/3Wuch3C v/ @PacktDataML —
What you will learn:
Explore the metrics used when classes are imbalanced.
Use imbalanced data in your machine learning models effectively.
Understand how and