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Internal Report - Meeting Minutes Link: feishu docs. To view or edit, please request access.

Internal Report - Meeting Minutes Link: feishu docs. To view or edit, please request access.

Report Overview This report explores Chain-of-Thought (COT) compression techniques aimed at reducing the computational cost and enhancing the efficiency of large language models (LLMs) in complex reasoning tasks. While COT improves LLM performance by generating intermediate reasoning steps, the length of these reasoning chains leads to increased computational demands. COT compression seeks to shorten these chains without significantly impacting model performance.

Internal Report - Meeting Minutes Link: feishu docs. To view or edit, please request access.

RFdiffusion is a general protein design framework based on diffusion models, capable of de novo design of binders and higher-order symmetric cyclic polymers, among other types of proteins. Mr.Shi shared the classic RFDiffusion algorithm and provided a brief introduction to the basics of proteins RFD training methods applications

AF2, the champion of the 2021 CASP competition, is also the work that won the 2024 Nobel Prize and holds significant importance for protein engineering. PeptideGPT is a pipeline to generate protein sequences with specific functions.

MAPLE can be used to predict methylation age and disease risk. It achieves stable and precise results by eliminating batch effects through contrastive learning methods. AF2, the champion of the 2021 CASP competition, is also the work that won the 2024 Nobel Prize and holds significant importance for protein engineering.