通过利用LLM,用户可以用简单的自然语言描述他们的查询需求,而不需要具备SQL编程的专业知识。这种转化过程的核心在于LLM的能力,它能够理解自然语言的语义并生成相应的SQL代码。在进行自然语言到SQL的转换时,提示工程是一个关键因素。清晰的说明和足够的上下文信息能够显著提高LLM生成SQL查询的准确性。例如,提供数据库模式的...
The first version of QueryGPT relied on a fairly simple RAG to fetch the relevant samples we needed to include in our query generation call to the LLM (Few Shot Prompting). We would take the user’s natural language prompt, vectorize it and do a similarity search (using k-nearest neighbor...
此外,与GPT-3.5相比,DeepSeek LLM 67B Chat 表现出卓越的性能。 MiniCPM [paper] [code] [model] 2024年2月, 面壁智能与清华大学自然语言处理实验室开源了大模型MiniCPM,这是一个系列端侧大模型,主体语言模型 MiniCPM-2B 仅有 24亿(2.4B)的非词嵌入参数量, 总计2.7B参数量。值得注意的是,经过 SFT 后...
Throughout this tutorial I am splitting the input prompts into the specific demand of the user and the high-level behaviour expected from the model. This is a good practice to improve our interaction with the LLM and be more concise in our prompts.You can learn more in the following article...
3. SQL Generation 同样对应以上的3种分类,论文采用的3种few-shot-prompt如下 easy:直接使用指令+表结构+ schema Link + few-shot Medium:表结构和schema Link相同,指令加入了zero-shot的思维链激活,思维链每一步会对应中间的SQL sub query。But这里有些奇怪的是论文中Medium部分的few-shot很多也是单表查询不需要...
Apache Superset is a Data Visualization and Data Exploration Platform - [SIP-128] AI/LLM query generation in SQL lab · apache/superset@eb39ddb
2023年10月,Mistral-AI 公司提出开源 LLM Mistral 7B,这是一个具有7b参数的语言模型,旨在实现卓越的性能和效率。Mistral 7B 在所有评估基准中均优于开源的llama2 13B,在推理、数学和代码生成方面优于llama1-34B模型。他们还提供了一个经过微调以遵循指令的模型Mistral 7B–Instruct,该模型在人类和自动化基准测试上...
后训练时代如何延续Scaling Law?这是你该读的LLM后训练综述 2天前 LLM ScienceOne正式发布:基于科学基础大模型的智能科研平台 2天前 AI for Science 解决200种复杂材料,10Å尺度模拟纳米晶体,哥大团队用4万个原子结构训练AI,登Nature子刊 3天前 扩散模型 ...
Your database contents are never sent to the LLM or the vector database SQL execution happens in your local environment Self learning. If using via Jupyter, you can choose to "auto-train" it on the queries that were successfully executed If using via other interfaces, you can have the inte...
Our experiments demonstrate using our techniques, LLMs is a promising tool to help data engineers in writing semantically equivalent SQL queries, however challenges still persist, and is a better metric for evaluating SQL generation than the popular execution accuracy. PDF Abstract ...