Adversary Foundation Model | Powered by TAAFT | Network Threat Forecasting | World-Model based Architecture
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Updated
Oct 6, 2026 - Python
Adversary Foundation Model | Powered by TAAFT | Network Threat Forecasting | World-Model based Architecture
平时我们接触到问题后的分解都是基于经验归纳总结得出认知范围内的满意解,现在提出一种方法能够以推理演绎的方式、从系统论角度出发找到问题的所有解,再去找最优解,后者的思考方式和科学研究的思考方式如出一辙,但如果将这种思考方式和求解方式迁移到工程与现实问题,我觉得是很有意思的事情。
This is the public repo for LLigMa, my own personal LLM and AI Assistant. It houses all versions from 1.0, and all versions use the following syntax for function
Python chat agent with dialogue memory: Claude Sonnet thinking mode and OpenAI models via ProxyAPI
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