#python #binary #decompile #large_language_models #reverse_engineering

LLM4Decompile is a powerful tool that helps convert binary code back into readable C source code. It uses large language models to decompile Linux x86_64 binaries, supporting different optimization levels. The tool has various models with high re-executability rates, meaning the decompiled code can often run correctly and pass tests. You can easily use it by following the quick start guide, which includes steps to set up the environment, preprocess the binary, and decompile it into C code. This tool is beneficial because it saves time and effort in understanding complex binary code, making it easier to analyze and modify software.

https://github.com/albertan017/LLM4Decompile

#python #agent #ai_societies #artificial_intelligence #communicative_ai #cooperative_ai #deep_learning #large_language_models #multi_agent_systems #natural_language_processing

CAMEL-AI is a community-driven project focused on multi-agent systems. It helps researchers study how AI agents interact and behave in large-scale environments. This platform supports tasks like data generation, task automation, and world simulation. By using CAMEL-AI, users can create complex scenarios where multiple agents collaborate to solve problems or generate synthetic data. The benefits include gaining insights into agent behaviors, improving decision-making processes, and enhancing collaboration among AI entities. It's open-source and easy to install via PyPI.

https://github.com/camel-ai/camel