The rise of ChatGPT and generative AI’s popularity on AWS has sparked interest in leveraging this technology for creating enterprise chatbots. By deploying a solution known as Chat Studio, users can engage with foundation models available in Amazon SageMaker, such as Llama 2 and Stable Diffusion, through a web interface. Additional integrations and deployment options are also explained, facilitating a rich conversational AI experience. The use of large language models (LLMs) and SageMaker’s foundation models is underscored, coupled with practical guidance for deploying these solutions. The authors, Jarrett Yeo Shan Wei and Tammy Lim Lee Xin, showcase their expertise in AWS and their dedication to AI advancements.
The Power of Generative AI in Chatbots
The launch of ChatGPT and the rise in popularity of generative AI have sparked interest in creating new products and services on AWS, such as enterprise chatbots. These chatbots, powered by large language models, offer a more conversational and human-like experience, enhancing user satisfaction.
Using SageMaker Foundation Models
Amazon SageMaker JumpStart provides access to a variety of foundation models, pre-trained on a broad set of general data. These models serve as the foundation for a wide range of use cases, from digital art generation to multilingual text classification, saving time and resources for customers.
Practical Solutions Overview
This post walks through a low-code workflow for deploying pre-trained and custom large language models through SageMaker. The steps include deploying SageMaker foundation models, setting up the web UI, adding other foundation models, and deploying the application using AWS Amplify.
Creating a Web UI to Interact with LLMs
With this solution, middle managers can easily interact with large language models through a user-friendly web interface, testing the models and receiving AI-generated images and videos if required. The solution can be extended to integrate additional foundation models, enabling ML-powered intelligent search and more.
Get Started with AI
If you want to evolve your company with AI, stay competitive, and redefine your way of work, consider creating a web UI to interact with LLMs using Amazon SageMaker JumpStart. Connect with us at hello@itinai.com for AI KPI management advice and continuous insights into leveraging AI.
Spotlight on a Practical AI Solution
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