Instant, controllable, local pre-trained AI models in Rust
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Updated
Jan 7, 2026 - Rust
Instant, controllable, local pre-trained AI models in Rust
awesome-LLM-controlled-constrained-generation
Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation (KDD'24)
Experiments in Latin dactylic hexameter generation with transformers: A hybrid post hoc feedback framework
lift-sys is a modular, verifiable AI-native software development environment, supporting next-generation constrained code generation and reverse-mode formalization, aiming to democratize high-quality software creation while keeping users in control.
Guided Infilling Modeling Toolkit
A constrained generation filter for local LLMs that makes them quote properly from a source document
A constrained generation library for llama.cpp that prevents malformed outputs. Features include XML/JSON tag completion, multi-step reasoning support, and an ultra-simple API. Built on llama.cpp's sampler architecture for reliable token filtering.
Educational repository demonstrating how BNF grammars can constrain LLM generation to produce guaranteed valid structured outputs (JSON, code, etc.)
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