@DozenDucc@yiding_song@theWaddleLabs got it. curious to know, is there a model in the pipeline for estimating the trajectory or it's just claude making prediction in the wild?
@ai_bites poor output. models are failing when tested on egocentric video collected at scale where environment and collection strategy isn't controlled
wrote a simple CLIP architecture to understand contrastive learning and how dual encoder models organize latent space.
math equations (basic addition) were synthetically generated (pixel space) paired with their tokenized sequences (text space).
the architecture consists of a standard CNN image encoder and a lightweight self attention based transformer text encoder.
contrastive loss successfully aligns the manifolds without explicit labels.