Project aimed to determine how well do LLMs identify objects in an image, how do they respond to ambiguity or unfamiliar inputs, how does prompt design affect their expression of uncertainty.
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Updated
Feb 17, 2026 - Python
Project aimed to determine how well do LLMs identify objects in an image, how do they respond to ambiguity or unfamiliar inputs, how does prompt design affect their expression of uncertainty.
A production-grade semantic movie recommendation system using SBERT for deep learning-based embedding and FAISS for high-performance vector search. Features a minimalist Obsidian-themed UI, TMDB API integration, and full Dockerization with CI/CD automation.
See WHY the Rust borrow checker rejected your code — a navigable Polonius derivation trace for E0499/E0502, not a guess.
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