Interacting with LLMs with Minimal Chat
Read OriginalThe article critiques the prevalent chat-based interface for Large Language Models (LLMs) and proposes a more intuitive, click-driven UX. It details a prototype book recommendation system that uses embeddings, approximate nearest neighbors, and cached keywords to provide context, allowing users to interact with an LLM 'librarian' through minimal typing.
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