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英文字典中文字典相关资料:


  • Text-to-SQL: Comparison of LLM Accuracy - AIMultiple
    We used our text-to-SQL benchmark methodology on 24 large language models (LLMs) to assess their performance in SQL command generation: LLMs often make four error types: faulty joins, aggregation mistakes, missing filters, and syntax errors
  • Query Understanding in LLM-based Conversational
    In this tutorial, we explore advanced techniques to enhance query understanding in LLM -based CIS systems
  • Get started querying LLMs on Databricks
    This article describes how to get started using Foundation Model APIs to serve and query LLMs on Databricks The easiest way to get started with serving and querying LLM models on Databricks is using Foundation Model APIs on a pay-per-token basis
  • Use natural language to execute SQL queries | Semantic Kernel
    We’ve heard from many in the community who want to use Semantic Kernel to query their relational database using natural language expressions We are excited to share this sandbox that enables you explore the capabilities of LLM to generate SQL queries (or SELECT statements): NL2SQL
  • How to Use LLM with RAG to Chat with Databases | Complete Guide to SQL . . .
    This guide explores how LLMs work behind the scenes, from schema extraction, ranking models, and backend APIs to LLM-generated queries, empowering both technical and non-technical users to gain instant insights without writing a single line of SQL
  • Leveraging SQL Knowledge Graphs for Accurate LLM SQL Query Generation
    Large Language Models (LLMs) have shown remarkable potential in generating SQL queries from natural language inputs (i e Spider, Bird) However, when we introduce SQL knowledge graphs into the equation, we open up new possibilities for even more accurate and efficient query generation
  • arXiv:2504. 06356v1 [cs. CL] 8 Apr 2025
    Here, we will introduce recent advances in developing LLM-based proactive CIS systems that can further provide useful information to unanswerable queries, or clarify the uncertainty of the query for more efficient and precise information seeking
  • Types of LLMs: Classification Guide in 2025 | Label Your Data
    Top LLM families include GPT, BERT, PaLM, LLaMA, and Claude, tailored for diverse applications Open-source models like LLaMA prioritize flexibility, while proprietary ones like GPT-4 ensure high performance Domain-specific LLMs excel in healthcare, finance, and legal tasks with industry-focused precision
  • An LLM Query Understanding Service - softwaredoug. com
    We’ll start by deploying a FastAPI app that calls an LLM The code below is just a dummy “hello world” app talking to an LLM We send a chat message over JSON, the LLM comes up with a response and we send it back Here’s the basic service: And calling a light LLM (Qwen2-7B) via pytorch:





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