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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

This architecture workflow includes the following steps: A user submits a question through a web or mobile application. The architecture of this system is illustrated in the following figure. These embeddings are then saved as a reference index inside an in-memory FAISS vector store, which is deployed as a Lambda layer.

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Extend large language models powered by Amazon SageMaker AI using Model Context Protocol

AWS Machine Learning - AI

We will deep dive into the MCP architecture later in this post. Using a client-server architecture (as illustrated in the following screenshot), MCP helps developers expose their data through lightweight MCP servers while building AI applications as MCP clients that connect to these servers.

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How Infosys improved accessibility for Event Knowledge using Amazon Nova Pro, Amazon Bedrock and Amazon Elemental Media Services

AWS Machine Learning - AI

Workshops, conferences, and training sessions serve as platforms for collaboration and knowledge sharing, where the attendees can understand the information being conveyed in real-time and in their preferred language. A serverless, event-driven workflow using Amazon EventBridge and AWS Lambda automates the post-event processing.

Media 85
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Empower your generative AI application with a comprehensive custom observability solution

AWS Machine Learning - AI

The CloudFormation template provisions resources such as Amazon Data Firehose delivery streams, AWS Lambda functions, Amazon S3 buckets, and AWS Glue crawlers and databases. She speaks at internal and external conferences such AWS re:Invent, Women in Manufacturing West, YouTube webinars, and GHC 23.

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Lambda World Cádiz 18: Highlights

Apiumhub

Lambda world Cádiz , one of the most important conferences on functional programming in Europe, took place in Cádiz on October 25 and 26. Lambda World started with an unconference where several people gave lightning talks. Lambda World unconference . Lambda World workshops. The workshops were of a high level!

Lambda 63
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Build a contextual chatbot application using Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

The popular architecture pattern of Retrieval Augmented Generation (RAG) is often used to augment user query context and responses. Internally, Amazon Bedrock uses embeddings stored in a vector database to augment user query context at runtime and enable a managed RAG architecture solution. Navigate to the lambdalayer folder.

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Serverless Architecture Conference 2019 - Serverless Hits the Big Time in Berlin

Stackery

Now, I have the spectacular opportunity to meet entire conference rooms of people who are excited to hear about my story, challenges, and goals. One such conference I attended and spoke at was Serverless Architecture Conference 2019 in Berlin, Germany. Architectural Patterns in the Serverless Journey of shop.LEGO.com.