In the world of software development, ensuring the reliability and functionality of your code is crucial for delivering a quality product. One effective approach to achieving this is through unit testing, which involves testing individual units of your application in isolation. Laravel, a popular PHP framework, provides a robust testing suite that makes it easy […]
STEP-1: Go to Amazon Bedrock and click on Custom Model under Foundation Model. Select Titan Multimodal Embeddings G1 as the Source Model. Give model name and job name. Then proceed to Input Data. The Dataset format should be as below. {“prompt”: “”, “completion”: “”} {“prompt”: “”, “completion”: “”} {“prompt”: “”, “completion”: “”} […]
Follow the below screenshot and edit the App Client>Login Page ( Initially ignore the lambda url, just keep the first url in the callback URL ) Create Agentcore Gateway and set the Agentcore Runtime as target Step-1 : Create a python file in your project named create_gateway.py import boto3 COGNITO_POOL_ID = “us-east-1_ceZ9MNmAF” COGNITO_CLIENT_ID = […]
STEP-1 Click on create bot Select “Create a blank bot” Now click Next. From the Voice INteraction dropdown choose “the only text based” Click Done. After that you will be redirect to Intent page Intent – An intent represents an action that the user wants to perform. You create a bot to support one or […]
Building and deploying an Angular project can be a complex and time-consuming process. However, with the help of AWS services like CodePipeline and Amazon S3, you can automate this process and ensure fast and reliable deployments. In this step-by-step guide, we will walk you through the process of setting up a pipeline that builds and […]
In today’s visually driven marketplace, the ability to showcase products effectively can make a significant difference in consumer engagement and sales. High-quality images with appealing backgrounds are essential for drawing in potential customers. This blog post will guide you through the process of utilizing AWS Bedrock to dynamically change the background of product images within […]
Introduction: Generative Artificial Intelligence (AI) has revolutionized the way we approach creative tasks, allowing machines to generate novel and realistic content. One compelling use case of Generative AI is the synthesis of images and text, a technology that finds applications in diverse fields, from content creation to marketing and design. Generative AI in AWS: Amazon […]
In today’s world of content overload, where blogs, articles, and product reviews are continuously produced, quick access to the essence of information has become indispensable. For many businesses and readers, lengthy texts can be challenging to consume promptly, making summaries essential for understanding the core message without going through every word. Amazon Web Services (AWS) […]
Amazon Kinesis Data Stream is used to collect large streams of data records in real time. You can create data-processing applications, known as Kinesis Data Streams applications. A typical Kinesis Data Streams application reads data from a data stream as data records. Amazon Kinesis Data Stream provides two APIs for putting data into an Amazon Kinesis stream: PutRecord and PutRecords. Put […]
Requisites – S3 bucket. (Create an S3 bucket to store images) Amazon Aurora PostgreSQL instance Postgres server Lambda functions STEP-1 After creating the S3 bucket, proceed to create Amazon Aurora PostgreSQL. On the Aurora console, create a new cluster. For Engine options¸, select Aurora (PostgreSQL Compatible). For the Engine version, choose your engine version. For […]