Applications Lambda System Design 
AWS Machine Learning - AI
APRIL 9, 2025
Organizations are increasingly using multiple large language models (LLMs) when building generative AI applications. This strategy results in more robust, versatile, and efficient applications that better serve diverse user needs and business objectives. In this post, we provide an overview of common multi-LLM applications.
AWS Machine Learning - AI
NOVEMBER 19, 2024
Amazon Bedrock offers a serverless experience so you can get started quickly, privately customize FMs with your own data, and integrate and deploy them into your applications using AWS tools without having to manage infrastructure. The workflow includes the following steps: Amazon WorkMail manages incoming and outgoing customer emails.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
AWS Machine Learning - AI
MARCH 13, 2025
Advancements in multimodal artificial intelligence (AI), where agents can understand and generate not just text but also images, audio, and video, will further broaden their applications. This is done by designating an Amazon Bedrock agent as a supervisor agent, associating one or more collaborator agents with the supervisor.
AWS Machine Learning - AI
JULY 10, 2024
However, it’s important to note that in RAG-based applications, when dealing with large or complex input text documents, such as PDFs or.txt files, querying the indexes might yield subpar results. In the next section, we discuss custom processing using Lambda function provided by Knowledge bases for Amazon Bedrock.
AWS Machine Learning - AI
OCTOBER 24, 2024
In this post, we set up an agent using Amazon Bedrock Agents to act as a software application builder assistant. Amazon Bedrock Agents helps you accelerate generative AI application development by orchestrating multistep tasks. This offers tremendous use case flexibility, enables dynamic workflows, and reduces development cost.
AWS Machine Learning - AI
JULY 3, 2024
The solution has been designed using the following services: Amazon Elastic Container Service (ECS) : to deploy and manage our Streamlit UI. Amazon Lambda : to run the backend code, which encompasses the generative logic. In step 5, the lambda function triggers the Amazon Textract to parse and extract data from pdf documents.
AWS Machine Learning - AI
MARCH 5, 2025
Generative AI question-answering applications are pushing the boundaries of enterprise productivity. To ensure the highest quality measurement of your question answering application against ground truth, the evaluation metrics implementation must inform ground truth curation.
Expert insights. Personalized for you.
108 
Let's personalize your content