"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

E6: The Computer Vision Revolution with Junnan Li and Dongxu Li of BLIP and BLIP2

Mar 9, 2023
Junnan Li and Dongxu Li, researchers behind groundbreaking projects like BLIP and BLIP-2, dive into the transformative impact of multimodal AI. They discuss how BLIP-2 enhances image captioning capabilities and unlocks new functionalities by leveraging existing models. Their insights on the evolution of connector models and the challenges in data quality provide a glimpse into the future of AI. The duo also emphasizes the ethical implications of AI development and the importance of democratizing access to advanced models.
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INSIGHT

Convergence of AI Techniques

  • AI subfields are blurring, enabling researchers to explore different domains.
  • This convergence is driven by techniques like transformers working across fields.
INSIGHT

BLIP Architecture and Training

  • BLIP's architecture blends encoder-decoder functionalities within a single model.
  • It uses a mix of contrastive, captioning, and image-text matching losses for training.
ANECDOTE

Logo Recognition in BLIP

  • BLIP excels at logo recognition, likely due to the large-scale LAION dataset used in training.
  • It is not a perfect OCR, as its Vision Transformer (ViT) takes a holistic view rather than letter-by-letter.
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