LAW-GPT
by LiuHC0428
中文法律对话语言模型
AI summary
Law Advisor
A Chinese law-focused conversational AI model designed to provide reliable and professional legal answers.
- stars
- 1.1K
- forks
- 121
- watching
- 8
Similar projects
Found by comparing what the projects do, not just their names.
Legal advisor
Develops an AI-powered law consulting system with a Chinese law-focused language model
Legal AI model
Develops and trains a large-scale, parameterized model for legal question answering and text generation
Legal model evaluator
Evaluates the legal knowledge of large language models using a custom benchmarking framework.
Legal AI model
An AI model trained on legal data to provide answers and explanations in Chinese law
Chinese Legal Knowledge Graph
Developing a sophisticated Chinese legal knowledge graph model through pre-training and fine-tuning on various data sources
Model advisor
An LLM-based tool to assist deep learning model development
Conversation Dataset
A large-scale Chinese conversation dataset and pre-trained dialog models for text generation
Legal assistant
An intelligent legal system powered by large language models to provide a wide range of legal services
Legal search platform
A legal knowledge search and Q&A application using various technologies such as NLP, microservices, and semantic search.
Search agent
An AI-powered search assistant for developers to find code and workspace information quickly.
Legal assistant
An AI-powered legal assistant system designed to provide accurate and reliable responses with the help of a Large Language Model (MoE) and knowledge graphs.
Juris model
A Python-based platform for generating juridical responses using language models
Medical LLM
A Chinese medical large language model trained on extensive medical data to perform information extraction, question answering, and multi-round dialogue tasks.
Legal Text Processor
Develops an NLP pipeline and model for processing long-form legal text
Region-of-Interest Training
Training and deploying large language models on computer vision tasks using region-of-interest inputs