Build your first fully functional, Java-based AI agent using familiar Spring conventions and built-in tools from Spring AI.

The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...

The project premise is to fine tune an open source LLM like Llama 2 with a specific dataset. The goal is to train the model with natural language prompts in order to generate sql queries to our ...

Addepar, the wealth management, analytics and alternatives aggregation platform provider, has officially launched Addison, a native AI experience embedded within its investment platform, enabling ...

Abstract: The increasing reliance on data-driven decision making has made database interaction a critical component in many domains. However, writing Structured Query Language (SQL) queries requires ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. This voice experience is generated by AI. Learn more. This ...

Bank payment company GoCardless has announced the launch of its Model Context Protocol (MCP), a tool enabling developers to use their preferred Large Language Model (LLM) to ‘speak’ to GoCardless. By ...

The additions let data teams ask progressive, context‑aware questions in natural language while enabling developers to deploy governed analytics agents across applications via unified API endpoints.

QuantLens converts natural language into SQL using a local LLM. Your data never leaves your machine. ┌─────────────────────────────────────────────────────────────────┐ │ │ │ "What are the top 5 ...

From the recent momentum behind translating natural language to SQL (nl2sql), to commercial product offerings such as Co-Pilot for Microsoft Fabric, Large Language Models (LLMs) are poised to have a ...