LLM Question Generator: Create Custom Questions from Text in Seconds

18 days ago 高效码农

Generate High-Quality Questions from Text — Practical Guide What this tool does This project generates multiple, diverse, human-readable questions from input text. It supports a range of large language model backends and providers. You feed the tool a dataset or a local file that contains text. The tool calls a model to create a set number of questions for every input item. Optionally, the tool can also generate answers for those questions. The final output is written as JSON Lines files. These files are ready for use in training, content creation, assessment generation, or dataset augmentation. Quick start — minimal …

STORM & Co-STORM: AI-Powered Knowledge Curation for Wikipedia-Style Content Generation

4 months ago 高效码农

STORM & Co-STORM: Your AI-Powered Knowledge Curation Assistants In today’s information age, efficient knowledge creation and organization are more critical than ever. STORM (Synthesis of Topic Outlines through Retrieval and Multi-perspective Question Asking) and its advanced version Co-STORM, developed by Stanford University, serve as intelligent assistants that can craft Wikipedia-like articles from scratch. This article will provide an in-depth yet easy-to-understand introduction to these tools and guide you through their installation and usage. What Are STORM and Co-STORM? STORM is an AI system based on large language models (LLMs) that can conduct internet research, generate outlines, and produce full-length articles …