Llm Pre Training, Llm Architecture, Model Quantization, Scaling Model Training, Llm Domain Adaptation.
valuable technique to reduce the memory footprint of large language models during training. By employing lower-precision formats such as FP16 or INT8, significant memory savings can be achieved without compromising the model’s overall performance. As LLMs continue to grow in size, developers must