Minimal zero-shot intent classifier for arbitrary intent slot filling, via LLM prompting w LangChain. - Mar2812/zero-shot-intent-classifier
Power of LLMs for prevalent language-based ML tasks using prompting and analyze the pros and cons of zero-shot and few-shot prompting.
Code for our ACL 2023 Paper "Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models". 🔥 We are honored to announce that Plan-and-Solve Prompting has been added to the core library of LangChain, that is, Plan-and-Execute. Find out what people...
用于微调DeepSeek-V3-Base。为了收集这些数据，他们探索了多种方法：使用带有长思维链示例的few-shot pr...
In the real world, stance detection tasks often involve assessing the stance or attitude of a given text toward new, unseen targets, a task known as zero-shot stance detection. However, zero-shot stance detection often suffers from issues such as sparse data annotation and inherent task complexi...
R1 相关代码可以参考huggingface 尝试开源复现open-r1项目。以往的研究多依赖于海量的监督数据来提升大语言...
Users can develop agents, LangChain applications, and even agument Qwen with a Python Code Interpreter. We provide documentation on how to implement tool calls based on the principle of ReAct Prompting, please refer to the ReAct example. Based on this principle, we provide support for function ...