Summary of Llm-assisted Crisis Management: Building Advanced Llm Platforms For Effective Emergency Response and Public Collaboration, by Hakan T. Otal and M. Abdullah Canbaz
LLM-Assisted Crisis Management: Building Advanced LLM Platforms for Effective Emergency Response and Public Collaboration
by Hakan T. Otal, M. Abdullah Canbaz
First submitted to arxiv on: 12 Jan 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed research introduces an open-source Large Language Model, LLAMA2, designed to identify and classify emergency situations from social media posts and direct emergency messages. This novel approach aims to enhance public safety by providing swift and effective responses during emergencies. By leveraging natural language processing and machine learning, the model can analyze 911 call content and offer relevant instructions to telecommunicators, while also notifying government agencies when necessary. The LLAMA2 model also assists in situations where the 911 system is overwhelmed, providing simple instructions and informing authorities with emergency information. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary During emergencies, it’s crucial to respond quickly and effectively. Researchers have developed a new way to identify and classify emergency situations using a language model called LLAMA2. This tool helps public safety telecommunicators by analyzing social media posts and direct messages to understand the situation and provide relevant instructions. It also sends important information to government agencies when needed. The goal is to make it easier for people to get help during emergencies, even when the 911 system is busy. |
Keywords
* Artificial intelligence * Language model * Large language model * Machine learning * Natural language processing
