Michael Birbas

Model size is a poor predictor of answer quality in retrieval-augmented systems, challenging long-held assumptions in AI deployment.

INT4 quantization can distort the architecture landscape, but a zero-shot FP32 surrogate offers a surprising advantage in maintaining Pareto optimality.