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How GPT-4 Built a New Multimodal Modelby@whatsai
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2,995 reads

How GPT-4 Built a New Multimodal Model

by Louis Bouchard
Louis Bouchard HackerNoon profile picture

Louis Bouchard

@whatsai

I explain Artificial Intelligence terms and news to non-experts.

September 6th, 2023
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LLaVA is an end-to-end large multimodal model that connects a vision encoder and LLM for general-purpose visual and language understanding. GPT-4 was used to generate a large and high-quality dataset to train a new model that understands images.
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Louis Bouchard HackerNoon profile picture
Louis Bouchard

Louis Bouchard

@whatsai

I explain Artificial Intelligence terms and news to non-experts.

About @whatsai
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Let's dive into one of the hottest GitHub repositories and research projects of the year – LLaVA, an end-to-end large multimodal model that connects a vision encoder and LLM for general-purpose visual and language understanding.


GPT-4 is powerful, but did you know that some AIs are built entirely thanks to it? Yes, GPT-4 is so good that it can be used to generate good enough data to train other AI models. And not just any model, but better models than itself!


In our upcoming video, you'll witness Liu et al.'s ingenious use of GPT-4 to create LLaVA, a groundbreaking general-purpose language vision model. LLaVA isn't just another AI; it's the first model that seamlessly comprehends and follows visual and language-based instructions.


By watching the video, you'll uncover how GPT-4's capabilities were harnessed to generate a large, high-quality dataset that trained a new model capable of understanding both images and text. LLaVA's multimodality means it can answer an impressive array of questions about the content it encounters.



But that's just the beginning.


Discover how LLaVA, powered by the unparalleled capabilities of GPT-4, is revolutionizing the way AI understands and interacts with both text and images simultaneously. From its inception to the remarkable results, we'll take you on a journey through the technology that's reshaping the future.


We will witness the magic of Visual Instruction Tuning, a new technique that empowers AI to understand images without relying on captions, a process that's opening up a world of possibilities.


Join us on this exciting journey to discover how LLaVA is bridging the gap between vision and language, all with the help of GPT-4. From understanding images in a flash to answering a wide range of questions, LLaVA is a game-changer in AI.



References

►Hong et al., 2023: MetaGPT, https://arxiv.org/pdf/2304.08485.pdf

►Code: https://github.com/haotian-liu/LLaVA

►Demo: https://llava-vl.github.io/

►Twitter: https://twitter.com/Whats_AI

►My Newsletter (A new AI application explained weekly to your emails!): https://www.louisbouchard.ai/newsletter/

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Louis Bouchard HackerNoon profile picture
Louis Bouchard@whatsai
I explain Artificial Intelligence terms and news to non-experts.

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