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Already know AI basics? Check out Part 2 of this Generative AI OCI series covering the Machine Learning architecture behind SQL Dialogs: https://www.youtube.com/watch?v=WEAMh4kyW3A
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
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For more architectural breakdowns, catch up on more First Principles videos:
First Principles: eliminating VM downtime with OCI's Live Migration: https://www.youtube.com/watch?v=w5aNG32-oCM
First Principles: inside OCI Container Instances: https://www.youtube.com/watch?v=GC4TVyeP6qI
First Principles: building a high performance network in the public cloud: https://www.youtube.com/watch?v=ca_OGqCVHDM
First Principles: superclusters with RDMA—Ultra-high performance at massive scale: https://www.youtube.com/watch?v=_qJIVJ9YmL0
First Principles: using redundancy and recovery to achieve high durability in OCI Object Storage: https://www.youtube.com/watch?v=TbxpIBfr9Zw
First Principles: making Kubernetes serverless with OCI's Virtual Nodes: https://www.youtube.com/watch?v=Bvn_2o-h2Ec
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