Find out more: Already know AI basics? Check out Part 2 of this Generative AI OCI series covering the Machine Learning architecture behind SQL Dialogs: Pulling data from a database typically requires SQL expertise. In this episode of First Principles, we cover the core AI-building blogs behind Oracle Digital Assistant's SQL dialogs, which enable natural language queries without training in SQL for low overhead, and easy data pulls from databases (especially helpful for enterprise users). 00:00 Introduction to SQL Dialogs 01:52 Powering SQL Dialogs with Generative AI 02:52 Simple Machine Learning model for Sentiment Analysis 03:39 Simple Classifiers to build Complex Models 04:15 Deep Neural Networks 05:12 How do we use DNNs in SQL Dialogs? 05:57 Transformer Models in SQL Dialogs 07:09 Attention Mechanism in Transformer Models 08:40 Intermediate memory stores in DNNs 09:16 Generative AI simplifies querying databases Like what you learned about SQL Dialogs Generative AI? Subscribe now Register for Oracle CloudWorld: For more architectural breakdowns, catch up on more First Principles videos: First Principles: eliminating VM downtime with OCI's Live Migration: First Principles: inside OCI Container Instances: First Principles: building a high performance network in the public cloud: First Principles: superclusters with RDMA—Ultra-high performance at massive scale: First Principles: using redundancy and recovery to achieve high durability in OCI Object Storage: First Principles: making Kubernetes serverless with OCI's Virtual Nodes: Contact Cloud Platform Sales: Oracle Cloud Infrastructure (OCI) - Join us at Oracle CloudWorld - Cloud Storage - Cloud Compute - Cloud Networking - Multicloud - Cloud Economics - Cloud Computing Defined - Follow us here: LinkedIn: Facebook: Instagram: Twitter: #OracleCloud #GenerativeAI #SQL