Recently at work I was debating with a colleague how can we reduce the inference costs to deliver better financial services with AI to customers in Bharat. As we debated various scenarios, the primary bottleneck is no longer just a question of “intelligence”, it is a question of “hyper personalized context.” For AI to become…
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From Pixels to Perspectives: Lessons in Logic from Vision-Language Models
I’ve been experimenting with vision-language models (VLMs) lately, and smaller ones like SmolVLM have shown me something genuinely fascinating: they behave wildly differently depending on how much context you throw at them. Here’s what I noticed. I gave one model a very specific context: a list of tasks formatted as JSON with exact requirements. It…
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The Lucid Monk 