Rethinking AI Quantization: The Missing Piece in Model Efficiency | HackerNoon
Quantum strategies optimize LLM precision while balancing accuracy and effectiveness through methods like post-training quantization and quantization-aware training.
Rethinking AI Quantization: The Missing Piece in Model Efficiency | HackerNoon
Quantum strategies optimize LLM precision while balancing accuracy and effectiveness through methods like post-training quantization and quantization-aware training.
Fast forward to 2024, our reliance on massive data infrastructures is evaporating, with AI systems running on palm-sized devices. Apple & Qualcomm chips integrate AI for tasks like language translation and photo processing.
The Hidden Power of "Cherry" Parameters in Large Language Models | HackerNoon
Parameter heterogeneity in LLMs shows that a small number of parameters greatly influence performance, leading to the development of the CherryQ quantization method.