所以如果存在解读有误的地方,欢迎交流。 参考文献 ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs https://arxiv.org/pdf/2307.16789.pdf https://github.com/OpenBMB/ToolBench ・IP 属地广东
24年1月复旦大学论文“ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios”。 现有的工具学习评估主要侧重于验证语言大模型 (LLM) 所选工具与预期结果的一致性。 然而,这些方法依赖于一组有限的场景,在这些场景中答案可以预先确定,偏离真正的需求。
Recent research shows the potential of enhancing the problem-solving ability of large language models (LLMs) through the use of external tools. However, prior work along this line depends on the availability of existing tools. In this work, we take an initial step towards removing this dependenc...
Output: Metforministhe first-line drugfor[Retrieval("illness, diabetes, obesity")] patients with type2diabetes and obesity. Input:<REPLACEGPT>Output:"""llmchain_prompt="""Your taskisto complete a given piece of text. You can use a Large Language Model to predict information. You candoso by...
[ICLR'24 spotlight] An open platform for training, serving, and evaluating large language model for tool learning. - OpenBMB/ToolBench
Large language models (LLMs) have revolutionized machine learning and captivated the general public with their remarkable generative abilities and capabilities for solving complex new tasks using only a few examples or text prompts. It is therefore surprising that these seemingly omn...
RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning - Junjie-Ye/RoTBench
Toolformer 基于带有 in-context learning(ICL)的大型语言模型从头开始生成数据集(Schick and Schütze, 2021b; Honovich et al., 2022; Wang et al., 2022)的思路:只需给出少数几个人类使用 API 的样本,就可以让 LM 用潜在的 API 调用标注一个巨大的语言建模数据集;然后使用自监督损失函数来确定哪些 API ...
This fMRI investigation establishes distributed sensitivity to cognitive demands associated with lexical access, syntactic structure building and semantic composition across the language network. Tuckute, G. et al. Driving and suppressing the human language network using large language models. Nat. Hum. ...
项目网站及代码:ReAct: Synergizing Reasoning and Acting in Language Models 这个也可以看我Agent的笔记 哦另外我看到我的笔记上还有一个不错的可视化 WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings WizMap:用于探索大规模机器学习嵌入的可扩展交互式可视化工具机器学习模型...