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
Educational repository demonstrating how BNF grammars can constrain LLM generation to produce guaranteed valid structured outputs (JSON, code, etc.)
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.
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