APIs Chatbots Workshop 
AWS Machine Learning
JANUARY 14, 2025
Chatbot application On a second EC2 instance (C5 family), deploy the following two components: a backend service responsible for ingesting prompts and proxying the requests back to the LLM running on the Outpost, and a simple React application that allows users to prompt a local generative AI chatbot with questions.
AWS Machine Learning
NOVEMBER 19, 2024
Workshops – In these hands-on learning opportunities, in 2 hours, you’ll be able to build a solution to a problem, and understand the inner workings of the resulting infrastructure and cross-service interaction. Builders’ sessions – These highly interactive 60-minute mini-workshops are conducted in small groups of fewer than 10 attendees.
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AWS Machine Learning
MARCH 18, 2025
Start learning with these interactive workshops. Solution overview This solution is primarily based on the following services: Foundational model We use Anthropics Claude 3.5 streamlit run app.py To visit the application using your browser, navigate to the localhost. Ready to get started with Amazon Bedrock?
AWS Machine Learning
SEPTEMBER 17, 2024
This enables a RAG scenario with Amazon Bedrock by enriching the generative AI prompt using Amazon Bedrock APIs with your company-specific data retrieved from the OpenSearch Serverless vector database. The chatbot application container is built using Streamli t and fronted by an AWS Application Load Balancer (ALB).
AWS Machine Learning
MARCH 19, 2024
The user can use the Amazon Recognition DetectText API to extract text data from these images. Because the Python example codes were saved as a JSON file, they were indexed in OpenSearch Service as vectors via an OpenSearchVevtorSearch.fromtexts API call. About the authors Julia Hu is a Sr.
CSM Magazine
DECEMBER 11, 2023
In today’s digital landscape, chatbots have become an invaluable customer engagement and support tool for many businesses. According to Statista, the chatbot market is forecast to reach around 1.25 Moreover, the cost of developing a sophisticated chatbot with local teams can be prohibitively high for many companies. billion U.S.
AWS Machine Learning
MAY 25, 2023
Amazon Lex provides the framework for building AI based chatbots. We implement the RAG functionality inside an AWS Lambda function with Amazon API Gateway to handle routing all requests to the Lambda. The Streamlit application invokes the API Gateway endpoint REST API. The API Gateway invokes the Lambda function.
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