Remove Demo Remove Lambda Remove Open Source
article thumbnail

8 open source companies from YC Demo Day Winter ’22

TechCrunch

Wicked fast VPNs, data organization tools, auto-generated videos to spice up your company’s Instagram stories … Y Combinator’s Winter 2022 open source founders have some interesting ideas up their sleeves. And since they’re open source, some of these companies will let you join in on the fun of collaboration too.

article thumbnail

Enhance customer support with Amazon Bedrock Agents by integrating enterprise data APIs

AWS Machine Learning - AI

The Lambda function runs the database query against the appropriate OpenSearch Service indexes, searching for exact matches or using fuzzy matching for partial information. The Lambda function processes the OpenSearch Service results and formats them for the Amazon Bedrock agent.

Lambda 115
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Enhance speech synthesis and video generation models with RLHF using audio and video segmentation in Amazon SageMaker

AWS Machine Learning - AI

Pre-annotation and post-annotation AWS Lambda functions are optional components that can enhance the workflow. The pre-annotation Lambda function can process the input manifest file before data is presented to annotators, enabling any necessary formatting or modifications. On the SageMaker console, choose Create labeling job.

Video 80
article thumbnail

Automate invoice processing with Streamlit and Amazon Bedrock

AWS Machine Learning - AI

Streamlit is an open source framework for data scientists to efficiently create interactive web-based data applications in pure Python. You can trigger the processing of these invoices using the AWS CLI or automate the process with an Amazon EventBridge rule or AWS Lambda trigger. or python -m streamlit run review-invoice-data.py

article thumbnail

CBRE and AWS perform natural language queries of structured data using Amazon Bedrock

AWS Machine Learning - AI

In this post, we describe how CBRE partnered with AWS Prototyping to develop a custom query environment allowing natural language query (NLQ) prompts by using Amazon Bedrock, AWS Lambda , Amazon Relational Database Service (Amazon RDS), and Amazon OpenSearch Service. A Lambda function with business logic invokes the primary Lambda function.

AWS 117
article thumbnail

Build generative AI agents with Amazon Bedrock, Amazon DynamoDB, Amazon Kendra, Amazon Lex, and LangChain

AWS Machine Learning - AI

Amazon Lex supplies the natural language understanding (NLU) and natural language processing (NLP) interface for the open source LangChain conversational agent embedded within an AWS Amplify website. Amazon Lex then invokes an AWS Lambda handler for user intent fulfillment. ConversationIndexTable – Tracks the conversation state.

article thumbnail

Access control for vector stores using metadata filtering with Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

When the doctor interacts with the Streamlit frontend, it sends a request to an AWS Lambda function, which acts as the application backend. Before querying the knowledge base, the Lambda function retrieves data from the DynamoDB database, which stores doctor-patient associations.