Experience the Power of Generative AI Application Builder on AWS

Table of Contents

1. Introduction
2. Key Benefits of Generative AI Application Builder on AWS
3. Getting Started with Generative AI Application Builder on AWS
4. AWS Services and Products in the Solution
5. More Information about Generative AI Application Builder
6. Deploying Generative AI Application Builder on AWS
7. Choosing Language Models for the Application
8. Tuning the Application to Prevent Hallucinations
9. Streaming Data in Real-time with the Application
10. Exploring the Deployed Chatbot

Introduction

Welcome to Solving with AWS Solutions, where we explore ready-to-deploy solutions built by AWS. In this article, we will dive into the Generative AI Application Builder solution and discuss its key benefits, how to get started with it, and the AWS services and products involved. We will also cover important aspects such as tuning the application, streaming data in real-time, and exploring the deployed chatbot.

Key Benefits of Generative AI Application Builder on AWS

The Generative AI Application Builder solution offers numerous benefits for developers, engineers, and architects. With this solution, you can experiment quickly with multiple configurations of various Large Language Models, Prompt engineering, and enterprise knowledge bases. It provides pre-built connectors to Amazon Bedrock and includes large language models such as Amazon Titan and select third-party LLMs. This flexibility allows you to deploy the model of your choice and connect with a wide variety of third-party models and services for simultaneous experimentation across models.

Pros:

• Quick experimentation with multiple configurations of language models
• Pre-built connectors to Amazon Bedrock and third-party LLMs for flexibility
• Simultaneous experimentation across models

Cons:

• May require some familiarity with language models and prompt engineering

Getting Started with Generative AI Application Builder on AWS

To get started with the Generative AI Application Builder on AWS, visit the landing page in the solution library. The landing page provides details about the solution's version, deployment time, possible costs, features, and benefits. It also includes two important links: an implementation guide and a single-click launching AWS console button. The implementation guide offers in-depth details about AWS console limitations, deployment regions, definitions, and available parameters for setting up the solution.

AWS Services and Products in the Solution

The Generative AI Application Builder leverages several AWS services and products to provide a comprehensive application development environment. The key services and products involved are:

1. Kendra: Kendra is a powerful search service that organizes documents and enables efficient searching through large amounts of information. It plays a crucial role in applications using the retrieval augmented generation (RAG) approach by providing high accuracy search capabilities for retrieving Relevant content and documents.

2. DynamoDB: DynamoDB is a highly scalable and flexible NoSQL database service used to store conversational information and temporary data. It ensures efficient data storage and retrieval for the application.

3. Lang Chain: Lang Chain is an open-source project that helps connect the application to a wide variety of language models. It acts as a bridge between the application and different models, facilitating seamless integration and interaction.

4. Amazon Bedrock: Amazon Bedrock is a key service that offers a choice of high-performing foundational language models for the application. It provides a range of model options to suit different use cases and preferences.

More Information about Generative AI Application Builder

If you need more information about Generative AI Application Builder before deploying it, refer to the implementation guide. The implementation guide provides detailed insights into AWS console limitations, deployment regions, and the parameters required for setting up the application. It is a valuable resource to understand the technical aspects and customization options available.

Deploying Generative AI Application Builder on AWS

To deploy Generative AI Application Builder on AWS, visit the landing page and click on the "Launch in AWS console" button. This button triggers the deployment process through the cloud formation template, ensuring a seamless setup. After successful deployment, you can access the administrative screen, where you can create new use cases and configure the application according to your requirements.

Choosing Language Models for the Application

Generative AI Application Builder allows you to connect to any large language model available. However, to simplify the process, pre-built connectors are available for popular models such as Anthropic and Hugging Face. Additionally, Amazon Bedrock and Amazon Titan are included as options for high-performing foundational models.

Tuning the Application to Prevent Hallucinations

Hallucinations can be a challenge when working with generative AI applications. To address this, the application provides a tuning option using a Scale from zero to one. Adjusting the scale between super creativity and super didactic influences the output of the application. By finding the right balance based on your requirements, you can mitigate the occurrence of hallucinations.

Streaming Data in Real-time with the Application

Generative AI Application Builder offers the option to stream data instead of receiving it in a single block. Streaming enables real-time interaction and immediate responses from the large language model. By choosing this option, the application can provide a conversational experience, making it feel like a natural conversation instead of a static result.

Exploring the Deployed Chatbot

After deploying Generative AI Application Builder, you can access the deployed chatbot using the provided URL and login information. The chatbot interface allows you to interact with the application by asking questions or providing prompts. It quickly processes the information and generates responses accordingly. You can experiment with different prompts and specific requests to fine-tune the generated content to your preferences.

FAQ

Q: Can I connect the Generative AI Application Builder to any language model? A: Yes, you can connect the application builder to any large language model. However, pre-built connectors are available for popular models like Anthropic and Hugging Face, as well as Amazon Bedrock and Amazon Titan.

Q: How can I prevent hallucinations in the generated content? A: The application provides a tuning option using a scale from zero to one. Adjusting the scale between super creativity and super didactic influences the output of the application and can help prevent hallucinations.

Q: What is the advantage of streaming data instead of receiving it in a single block? A: Streaming data offers real-time interaction and immediate responses from the large language model, creating a more conversational experience. It enhances the user experience by making the generated content feel like a natural conversation.