ER Physician | Chief AI Officer, Phantom Space | AI & Space-Tech Futurist | 4× TEDx | Advisor: Singapore MoH | Author ‘ChatGPT & Healthcare’ | #DrGPT™
Your AI Will See You Now: Unveiling the Visual Capabilities of Large Language Models The frontier of AI is expanding with major advancements in vision capabilities across Large Language Models (LLMs) such as OpenAI’s ChatGPT, Google’s Gemini, and Anthropic’s Claude. These developments are transforming how AI interacts with the world, combining the power of language with the nuance of vision. Key Highlights: • #ChatGPTVision: OpenAI’s GPT-4V introduces image processing, expanding AI’s utility from textual to visual understanding. • #GeminiAI: Google’s Gemini leverages multimodal integration, enhancing conversational abilities with visual data. • #ClaudeAI: Anthropic’s Claude incorporates advanced visual processing to deliver context-rich interactions. Why It Matters: Integrating visual capabilities allows #AI to perform more complex tasks, revolutionizing interactions across various sectors: • #Robots and Automation: Robots will utilize the vision part of multimodality to navigate and interact more effectively in environments from manufacturing floors to household settings. • #Security and Identification: At airports, AI-enhanced systems can scan your face as an ID, matching your image against government databases for enhanced security and streamlined processing. • #Healthcare Applications: In healthcare, visual AI can analyze medical imagery more accurately, aiding in early diagnosis and tailored treatment plans. These advancements signify a monumental leap towards more intuitive, secure, and efficient AI applications, making everyday tasks easier and safer. Engage with Us: As we continue to push AI boundaries, your insights and contributions are invaluable. Join us in shaping the future of multimodal AI. #AIRevolution #VisualAI #TechInnovation #FutureOfAI #DrGPT 🔗 Connect with me for more insights and updates on the latest trends in AI and healthcare. 🔄 Feel free to share this post and help spread the word about the transformative power of visual AI!
What I’d like to understand better is how to get AI to improve upon pictures that I’ve generated using AI. Often the more I try to improve a picture, the farther it gets from my original prompt request. I’m finding that text in pictures is garbled and difficult to correct. I’m finding that colors are skewed in the red/blue part of the spectrum. There is certainly a clearly identifiable “look” or signature to these generated pictures that gives them away as AI-generated.
The unveiling of visual capabilities within Large Language Models marks a significant stride in AI evolution, merging linguistic prowess with visual understanding. This convergence opens avenues for enhanced interactions, revolutionizing sectors like robotics, security, and healthcare. However, with this fusion of modalities comes the challenge of ensuring robustness and interpretability. How can we address concerns regarding bias and ethical implications in AI systems that integrate visual processing? What strategies can we employ to foster transparency and accountability in the development and deployment of multimodal AI solutions?
Harvey Castro, MD, MBA. 👍🏽, your insights into the evolving landscape of AI and its integration with visual capabilities are fascinating. The advancements in Large Language Models like OpenAI's ChatGPT, Google's Gemini, and Anthropic's Claude are truly groundbreaking, paving the way for more nuanced interactions between AI and the world.
The vision capabilities make a big impact to our respective industries Harvey! We live in the physical world and are bridging it into the digital world with AR and multimodal LLM capabilities.
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1yFascinating insights into the expanding frontier of AI and its integration with visual capabilities. With the advancement of AI, sight, sound and touch as we know it is changing right before our eyes, Harvey Castro MD, MBA. 👊🏼 👍🏼