Generative AI
Demystifying ChatGPT: Different methods for building AI search
In this blog, we look at how ChatGPT works, and consider three approaches to build generative AI like search experiences for specific domains.
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Retrieval vs. poison — Fighting AI supply chain attacks
In this post, learn about the supply chain vulnerabilities of artificial intelligence large language models and how the AI retrieval techniques of search engines can be used to fight misinformation and intentional tampering of AI.
Dave Erickson
Generative AI using Elastic and Amazon SageMaker JumpStart
Learn how to build a GAI solution by exploring Amazon SageMaker JumpStart, Elastic, and Hugging Face open source LLMs using the sample implementation provided in this post and a data set relevant to your business.
Uday Theepireddy, Ayan Ray
Relativity uses Elasticsearch and Azure OpenAI to build futuristic search experiences, today
Elasticsearch Relevance Engine is a set of tools for developers to build AI-powered search applications. Relativity, the eDiscovery and legal search tech company, is building next-generation search experience with Elastic and Microsoft Azure Open AI.
Hemant Malik, Aditya Tripathi
The generative AI societal shift
Learn how Elastic is at the forefront of the Large Language Models revolution –– helping users take LLMs to new heights by providing real-time information and integrating LLMs into search, observability, and security systems for data analysis.
Jeff Vestal
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Logs: Understanding TLS errors with ESRE and generative AI
This blog presents a novel application of the Elasticsearch Relevance Engine (ESRE) with its Elastic Learned Sparse Encoder capability, specifically in log analysis.
David Hope
ChatGPT and Elasticsearch: APM instrumentation, performance, and cost analysis
In this blog, we'll instrument a Python application that uses OpenAI and analyze its performance, as well as the cost to run the application. Using the data gathered from the application, we will also show how to integrate LLMs into your application.
Luca Wintergerst
ChatGPT and Elasticsearch: Faceting, filtering, and more context
By providing tools like ChatGPT additional context, you can increase the likelihood of obtaining more accurate results. See how Elasticsearch's faceting and filtering framework can allow users to refine their search and reduce costs.
Luca Wintergerst
ChatGPT and Elasticsearch: OpenAI meets private data
Explore the integration of Elasticsearch's search relevance capability with ChatGPT's question-answering capability to enhance your domain-specific knowledge base. Learn how to harness ChatGPT to enrich your information repository like never before!
Jeff Vestal
ChatGPT and Elasticsearch: A plugin to use ChatGPT with your Elastic data
Learn how to implement a plugin and enable ChatGPT users to extend ChatGPT with any content indexed in Elasticsearch, using the Elastic documentation.
Baha Azarmi
Monitor OpenAI API and GPT models with OpenTelemetry and Elastic
Get ready to be blown away by this game-changing approach to monitoring cutting-edge ChatGPT applications! As the ChatGPT phenomenon takes the world by storm, it's time to supercharge your monitoring game with OpenTelemetry and Elastic Observability.
David Hope