Self thinking data manifests enable data artifacts, including documents, to guide their own interpretation by LLMs, creating interactive, self-directing experiences that preserve author intent while unlocking new analytical capabilities.
I built this after trying to build customized chat-to-data experiences. Why not invert the problem and make any LLM engine provide a customized chat! We can program LLMs with embedded prompts getting them to do things like analyze embedded data or provide users with customized UIs.
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