LLM evaluation framework
-
Updated
Apr 13, 2024 - Jupyter Notebook
LLM evaluation framework
Polish translation of spider dataset.
Large Language Models - Text2SQL Project
Fine Tuning is a cost-efficient way of preparing a model for specialized tasks. Fine-tuning reduces required training time as well as training datasets. We have open-source pre-trained models. Hence, we do not need to perform full training every time we create a model.
Project proposal for solving the "Talk to your data" task at hackathon "HackYeah 2023"
Nesse repositório, eu sumarizo os casos de uso de chatGPT e LangChain que tenho estudado
A natural language querying system for Premier League stats
[ICML 2023] Official code for our paper: 'Conditional Tree Matching for Inference-Time Adaptation of Tree Prediction Models'
RSL-SQL: Robust Schema Linking in Text-to-SQL Generation
Python 3 reimplementation of SyntaxSQLNet, including several improvements
Text2SQL project comparing different LLM models
Using Database Rule for Weak Supervised Text-to-SQL Generation https://arxiv.org/abs/1907.00620
一个轻量级、支持全链路且易于二次开发的大模型应用项目 基于 Dify 、Ollama&Vllm、Sanic 和 Text2SQL 📊 等技术构建的一站式大模型应用开发项目,采用 Vue3、TypeScript 和 Vite 5 打造现代UI。它支持通过 ECharts 📈 实现基于大模型的数据图形化问答,具备处理 CSV 文件 📂 表格问答的能力。同时,能方便对接第三方开源 RAG 系统 检索系统 🌐等,以支持广泛的通用知识问答。
Table2answer: Read the database and answer without SQL https://arxiv.org/abs/1902.04260
Add a description, image, and links to the text2sql topic page so that developers can more easily learn about it.
To associate your repository with the text2sql topic, visit your repo's landing page and select "manage topics."