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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

Organizations are increasingly using multiple large language models (LLMs) when building generative AI applications. Although an individual LLM can be highly capable, it might not optimally address a wide range of use cases or meet diverse performance requirements.

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The 10 Biggest Rounds Of February: Saronic And NinjaOne Lead Big Month

Crunchbase News

Lambda , $480M, artificial intelligence: Lambda, which offers cloud computing services and hardware for training artificial intelligence software, raised a $480 million Series D co-led by Andra Capital and SGW. It was just a year ago when Lambda hit unicorn status after a $320 million Series C at a $1.5

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Revolutionize trip planning with Amazon Bedrock and Amazon Location Service

AWS Machine Learning - AI

If an image is uploaded, it is stored in Amazon Simple Storage Service (Amazon S3) , and a custom AWS Lambda function will use a machine learning model deployed on Amazon SageMaker to analyze the image to extract a list of place names and the similarity score of each place name. Here is an example from LangChain.

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How I replaced Xebia Leadership with Artificial Intelligence

Xebia

That’s right, folks; I replaced the Xebia leadership with artificial intelligence! The magic happens through a combination of Serverless, user input, a CloudFront distribution, a Lambda function, and the OpenAI API. You’ve heard of the age-old saying: "If you can’t beat them, join them," right?

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Build an AI-powered document processing platform with open source NER model and LLM on Amazon SageMaker

AWS Machine Learning - AI

National Laboratory has implemented an AI-driven document processing platform that integrates named entity recognition (NER) and large language models (LLMs) on Amazon SageMaker AI. In this post, we discuss how you can build an AI-powered document processing platform with open source NER and LLMs on SageMaker.

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Use zero-shot large language models on Amazon Bedrock for custom named entity recognition

AWS Machine Learning - AI

Traditional neural network models like RNNs and LSTMs and more modern transformer-based models like BERT for NER require costly fine-tuning on labeled data for every custom entity type. By using the model’s broad linguistic understanding, you can perform NER on the fly for any specified entity type.

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

AWS Machine Learning - AI

This engine uses artificial intelligence (AI) and machine learning (ML) services and generative AI on AWS to extract transcripts, produce a summary, and provide a sentiment for the call. You can invoke Lambda functions from over 200 AWS services and software-as-a-service (SaaS) applications.