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Build a GenAI solution using Elastic and Amazon SageMaker JumpStart

Jul 25, 2023 by iHash Leave a Comment


In the rapidly advancing world of artificial intelligence, one of the most intriguing and transformative developments is generative artificial intelligence (GAI). GAI represents a significant leap forward in AI capabilities, enabling machines to generate original and creative content across various domains including conversations, stories, images, videos, and music. Enterprises seek not only top-performing infrastructure, but also a secure platform to harness the power of GAI without compromising their sensitive data and intellectual property. Large language models (LLMs) strive to understand and produce text that resembles human language, utilizing the structure, meaning, and context of natural language.

Elastic® and Amazon Web Services (AWS) understand this pressing need and have taken the lead in offering cutting-edge solutions to meet these demands. Using Amazon SageMaker JumpStart combined with Elasticsearch’s capabilities, businesses can now confidently explore and adopt the most suitable AI models for their specific use cases while maintaining cost-effectiveness, security, and privacy.

Elasticsearch®’s integration with advanced AI models further enhances its capabilities. By leveraging Elasticsearch’s retrieval prowess, LLMs can access the most relevant documents to provide accurate and up-to-date responses. This synergy between Elasticsearch and LLMs ensures that users receive contextually relevant and factual answers to their queries, setting a new standard for information retrieval and AI-powered assistance. 

Elasticsearch is a powerful search engine that offers a range of features to ensure exceptional search performance. It supports traditional keyword and text-based search using the BM25 algorithm, as well as AI-ready vector search with exact match and approximate kNN (k-Nearest Neighbor) search capabilities. These advanced features allow Elasticsearch to retrieve highly relevant results for queries expressed in natural language. By combining traditional, vector, or hybrid search approaches, Elasticsearch delivers precise results, making it effortless for users to find the information customers need.

The Elasticsearch platform seamlessly incorporates robust machine learning and artificial intelligence capabilities directly into its solutions, empowering you to create highly sought-after applications and accomplish tasks with remarkable efficiency. By leveraging these advanced technologies, you can harness the full potential of Elasticsearch to deliver exceptional user experiences and expedite your workflow.



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Filed Under: News Tagged With: amazon, build, Elastic, GenAI, JumpStart, SageMaker, solution

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    AI-Powered Productivity & Learning Bundle for $29
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    Flux 7 TWS Earbuds  w/ Wireless Charging Case & Power Bank (White/2-Pack) for $39

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