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Family of Titan Text Models - Boto3 Demo

Family of Titan Text Models - Boto3 Demo

AWS Bedrock - Learning Series. Explore sample code for leveraging the Titan Text Model family, including Express, Lite, and Embedding.

Published Dec 13, 2023
Last Modified Mar 11, 2024

Github Link - Notebook

https://github.com/jayyanar/learning-aws-bedrock/blob/main/blog3-Titan/Bedrock_Titan_Learning.ipynb

Environment Setup

I am using vscode local environment with AWS Credential configured.

Install Latest Python

Upgrade pip

Install latest boto3,awscli, boto3-core

Load the Library

Titan Text Model - Express

Set the Prompt

Configure the Model configuration

Invoke the Model

Parse the Configuration

#The code text = outputText[outputText.index('\n')+1:] extracts the substring following the first newline character in the outputText string. This is useful for scenarios where the initial content before the first newline is irrelevant, and you want to capture the text that comes after it. The index('\n')+1 locates the position of the first newline character, and the slicing [index+1:] fetches the subsequent text, assigning it to the variable text
Text completion:
AWS Lambda, an Amazon Web Services (AWS) serverless computing service, enables developers to execute code in response to events without managing infrastructure. It offers high scalability, automatically adjusting to application demand. With a pay-as-you-go model, it's cost-effective for unpredictable workloads. Supporting various languages like Python and Java, Lambda provides flexibility. Integration with AWS services like S3 and DynamoDB streamlines application development. To use AWS Lambda, developers create functions, configure event sources (e.g., CloudWatch, S3), and invoke functions through the AWS Lambda API or CLI, providing a versatile and efficient solution for building serverless applications.

Titan Text Model - Lite

Set the Prompt

Configure the Model configuration

Invoke the Model

Parse the Configuration

Text completion:
Amazon DynamoDB is a fully managed NoSQL database service in the cloud that offers fast and predictable performance with seamless scalability. It is designed to run high-performance applications at any scale. On the other hand, Amazon Redis is a fully managed in-memory data structure store that provides real-time analytics, caching, and key-value data storage. It is suitable for applications that require fast data retrieval and low latency.

Titan Text Model - Embedding

Set the Prompt

Configure the Model configuration

Invoke the Model

Parse the Configuration

#This code retrieves the "embedding" vector from the response body and prints its length along with a preview of the first three and last three values, showing a snippet of the embedding vector.
Text within this block will maintain its original spacing when publishedYou can find the Embedding Vector 1536 values
[0.40429688, -0.38085938, 0.19726562, '...', 0.2109375, 0.012573242, 0.18847656]

Titan MultiModel - Embedding

Download the Image

Configure the Model configuration

Invoke the Model

Parse the Configuration

#This code retrieves the "embedding" vector from the response body and prints its length along with a preview of the first three and last three values, showing a snippet of the embedding vector.
Text within this block will maintain its original spacing when publishedYou can find the Embedding Vector 1024 values
[0.016090883, 0.03545449, 0.0026249958, '...', 0.0065908986, 0.0172727, 0.002738632]

Titan Image Generator

Prompt for Image Generation

Configure the Model configuration

Invoke the Model

Parse and store the Image Output

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