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翻译 - Grakn Core:知识图
#大语言模型#Reasoning in LLMs: Papers and Resources, including Chain-of-Thought, OpenAI o1, and DeepSeek-R1 🍓
#大语言模型#[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models
Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)
#自然语言处理#A collection of research on knowledge graphs
#计算机科学#An Open-sourced Knowledgable Large Language Model Framework.
[Embodied-AI-Survey-2024] Paper list and projects for Embodied AI
Protege Desktop
#自然语言处理#A central, open resource for data and tools related to chain-of-thought reasoning in large language models. Developed @ Samwald research group: https://samwald.info/
#自然语言处理#[ACL 2023] Reasoning with Language Model Prompting: A Survey
#自然语言处理#Learn about Machine Learning and Artificial Intelligence
Awesome Reasoning LLM Tutorial/Survey/Guide
#计算机科学#AI tutor powered by Theory-of-Mind reasoning
#大语言模型#LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
Pretraining code for a large-scale depth-recurrent language model
Neuro-Symbolic AI with Knowledge Graph | "True Reasoning" through data and logic 🌿🌱🐋🌍