Generating SQL Database Queries from Natural Language with Yanshuai Cao - #519

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

内容由TWIML and Sam Charrington提供。所有播客内容（包括剧集、图形和播客描述）均由 TWIML and Sam Charrington 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。

2+ y ago 38:28

MP3•单集首页

Today we’re joined by Yanshuai Cao, a senior research team lead at Borealis AI. In our conversation with Yanshuai, we explore his work on Turing, their natural language to SQL engine that allows users to get insights from relational databases without having to write code. We do a bit of compare and contrast with the recently released Codex Model from OpenAI, the role that reasoning plays in solving this problem, and how it is implemented in the model. We also talk through various challenges like data augmentation, the complexity of the queries that Turing can produce, and a paper that explores the explainability of this model.

The complete show notes for this episode can be found at twimlai.com/go/519.

700集单集