AI Services: Introduction to OCI Language
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Introduction
Acknowledgements
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Get started
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Lab 1: Analyze text with pre-trained models
Introduction
Policy Setup
Task 1: Use the Console to analyze text
Task 2: Analyze Text with Python SDK
Task 3: Analyze text using OCI Data Science Notebook
Task 4: Analyze Text using REST API
Summary
Acknowledgements
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Lab 2: Create and train custom models
Introduction
Policy Setup
Task 1: Create a Project
Task 2: Create Custom NER Model
Task 3: Create Custom Classification Model
Task 4: Using Python SDK to Create Custom Models
Summary
Acknowledgements
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Lab 3: Translate text through OCI Console and python SDK
Introduction
Task 1: Translate Text using OCI Console
Task 2: Translate Text with Python SDK
Summary
Acknowledgements
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Lab 4: Create async jobs and document translation
Introduction
Policy Setup
Task 1: Create an async job for analysing text using pre-trained model
Task 2: Create an async job for analysing text using custom model
Task 3: Create an async job for translating documents
Task 4: Using Python SDK to create async job and document translation
Summary
Acknowledgements
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Lab 5: Create and analyze text with healthcare and multilingual models
Introduction
Task 1: Create a healthcare model
Task 2: Create a multilingual model
Task 3: Using Python SDK to create healthcare and multilingual model
Summary
Acknowledgements
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