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Enhancing Vision-Language Models with Chain of Manipulations: A Leap Towards Faithful Visual Reasoning and Error Traceability

Big Vision Language Models (VLMs) trained to comprehend vision have shown viability in broad scenarios like visual question answering, visual grounding, and optical character recognition, capitalizing on the strength of Large Language Models (LLMs) in general knowledge of the world. Humans mark or process the provided photos for convenience and rigor to address the intricate…

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A Weekend AI Project: Making a Visual Assistant for People with Vision Impairments | by Dmitrii Eliuseev | Feb, 2024

Running a multimodal LLaVA model, camera, and speech synthesis Image by Enoc Valenzuela, UnsplashModern large multimodal models (LMMs) can process not only text but also different types of data. Indeed, “a picture is worth a thousand words,” and this functionality can be crucial during the interaction with the real world. In this “weekend project,” I…

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Unveiling EVA-CLIP-18B: A Leap Forward in Open-Source Vision and Multimodal AI Models

In recent years, LMMs have rapidly expanded, leveraging CLIP as a foundational vision encoder for robust visual representations and LLMs as versatile tools for reasoning across various modalities. However, while LLMs have grown to over 100 billion parameters, the vision models they rely on need to be bigger, hindering their potential. Scaling up contrastive language-image…

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Meta vs. OpenAI: Large Open-source Models for Translation

Meta’s open-source Seamless models: A deep dive into translation model architectures and a Python implementation guide using HuggingFace This post was co-authored with Rafael Guedes. The growth of an organization is not limited to its country boundaries. Some organizations only sell or operate on external markets. This globalization comes with several challenges, one being how…

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The Comprehensive Guide to AI in Invoice Data Capture

Traditional invoice processing methods often fall short in the ever-evolving landscape of business operations, where time is money and precision is paramount. Cumbersome, time-consuming, and prone to errors, manual invoice data capture has long been a bottleneck for businesses striving for efficiency. However, finance is changing, and artificial intelligence's transformative power marks a new era.…

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