Summary of Exploring Possibilities Of Ai-powered Legal Assistance in Bangladesh Through Large Language Modeling, by Azmine Toushik Wasi and Wahid Faisal and Mst Rafia Islam and Mahathir Mohammad Bappy
Exploring Possibilities of AI-Powered Legal Assistance in Bangladesh through Large Language Modeling
by Azmine Toushik Wasi, Wahid Faisal, Mst Rafia Islam, Mahathir Mohammad Bappy
First submitted to arxiv on: 22 Oct 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Computers and Society (cs.CY)
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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 This research aims to develop a specialized Large Language Model (LLM) to assist in Bangladesh’s legal system. By fine-tuning the GPT-2 model on an English corpus of Bangladeshi legal documents, the authors created GPT2-UKIL-EN, designed for providing legal assistance in English. The model was rigorously evaluated using semantic assessments, including case studies supported by expert opinions, yielding promising results demonstrating its potential to assist in legal matters within Bangladesh. The study represents a significant step toward creating an AI-based legal assistant for Bangladesh. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This research aims to create an artificial intelligence (AI) tool that helps people in Bangladesh get legal assistance. The tool is called GPT2-UKIL-EN and it’s designed to understand English language documents related to Bangladeshi law. The authors tested the tool and found it works well, showing its potential to help people with legal problems in Bangladesh. This is an important step towards creating a helpful AI tool for 180 million people. |
Keywords
» Artificial intelligence » Fine tuning » Gpt » Large language model
