Interpretation of QWen2.5 Technical Report

Interpretation of QWen2.5 Technical Report

Paper Link:https://arxiv.org/pdf/2412.15115 Github Code: https://github.com/QwenLM/Qwen2.5 The technical report of the Qwen2.5 series large language model launched by Alibaba Cloud has been released, covering improvements in model architecture, pre-training, post-training, evaluation, and more. Today, we will provide a simple interpretation. Summary: 1. Core Insights 1.1. Model Improvements ● Architecture and Tokenizer: The Qwen2.5 series includes dense … Read more

Summary of Post-Training Techniques from Llama3.1 to DeepSeek-V3

Summary of Post-Training Techniques from Llama3.1 to DeepSeek-V3

Summit Preview On January 14,the Fourth Global Autonomous Driving Summit will be held in Beijing.The main venue will host the opening ceremony, an end-to-end autonomous driving innovation forum, and a city NOA special forum, while the sub-venues will hold technical seminars on autonomous driving visual language models and world models.All the speakers for the summit … Read more