多LLM摘要框架在每轮对话中包含两个基本步骤:生成和评估。这些步骤在多LLM分散式摘要和集中式摘要中有所不同。在两种策略中,k个不同的LLM都会生成多样化的文本摘要。然而在评估阶段,多LLM集中式摘要方法使用单个LLM来评估摘要并选择最佳摘要,而分散 ...

它不仅可以将常见的Office文档（Word、PowerPoint、 Excel ）、PDF、图像、音频等转换为对大模型更友好的 Markdown 格式。 哥伦比亚大学讲师 Tharsis用一个 证券报告分析任务 测试了 Mark ItDown 的性能，同时也将它与IBM的热门Markdown转换库 Docling 进行了对比，一起来看看吧。

近期，DeepMind的一项研究使用了特定的prompt来测试LLM是否能复现训练数据。研究结果表明，较大的模型参数量可能有助于模型在输出中包含更多训练 ...

we propose a novel method that simplifies a complex problem by prompting the LLM to not only respond to the question but also to provide a step-by-step explanation towards the solution.” ...

state-of-the-art LLM? As it turns out, there are a growing number of converts — but the key to unlocking reasoning models’ true value may lie in the user prompting them differently.

Requirement-Oriented Prompt Engineering (ROPE) helps users craft precise prompts for complex tasks, improving the quality of LLM outputs and driving more efficient human-AI collaborations.

Here’s how each component of the framework can be applied: By following these steps, you can create a prompt that guides the LLM to produce a well-organized and informative essay tailored to the ...

Prompts are instructions or templates for instructions. Resources are structured data which can be included in the LLM prompt context. Tools are "executable functions" which LLMs can call to ...

Sending a prompt to DeepSeek-V3 doesn’t activate the entire LLM, but only the specific neural network to which the request is routed. Each such neural network has 34 billion parameters ...