A single function Jev-like wrapper for LLMs, including vision models
What happened
The author introduced a lightweight, single‑function wrapper—modeled after the Jev library—that lets developers call any large language model or multimodal vision model through a uniform API. It abstracts away tokenization, prompt formatting, and image preprocessing so you can interact with text‑only or vision‑enabled models using the same simple call.
Why it matters
By standardizing the interface across diverse LLMs and vision models, the wrapper speeds up prototyping and reduces integration overhead, making it easier for startups and researchers to experiment with the latest multimodal AI services.
Is this a big deal?
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