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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.

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Empower your generative AI application with a comprehensive custom observability solution

AWS Machine Learning - AI

Observability refers to the ability to understand the internal state and behavior of a system by analyzing its outputs, logs, and metrics. The CloudFormation template provisions resources such as Amazon Data Firehose delivery streams, AWS Lambda functions, Amazon S3 buckets, and AWS Glue crawlers and databases.

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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning - AI

All of this data is centralized and can be used to improve metrics in scenarios such as sales or call centers. In contrast, our solution is an open-source project powered by Amazon Bedrock , offering a cost-effective alternative without those limitations.

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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. Model monitoring – The model monitoring service allows tenants to evaluate model performance against predefined metrics. Alternatively, you can use AWS Lambda and implement your own logic, or use open source tools such as fmeval.

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Enhance conversational AI with advanced routing techniques with Amazon Bedrock

AWS Machine Learning - AI

This post assesses two primary approaches for developing AI assistants: using managed services such as Agents for Amazon Bedrock , and employing open source technologies like LangChain. Additionally, you can access device historical data or device metrics. What is an AI assistant?

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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.

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Asure’s approach to enhancing their call center experience using generative AI and Amazon Q in Quicksight

AWS Machine Learning - AI

Ragas is an open source evaluation framework that helps evaluate FM-generated text. The human-in-the-loop UI plus Ragas metrics proved effective to evaluate outputs of FMs used throughout the pipeline. In addition, traditional ML metrics were used for Yes/No answers. and Anthropics Claude Haiku 3.