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Watch to explore how to ensure data security and privacy in AI applications that employ Large Language Models (LLMs).
As generative AI becomes increasingly vital for enterprises – especially in applications such as chatbots utilizing Retrieval-Augmented Generation (RAG) systems – ensuring the security and confidentiality of data within these frameworks is essential.
During this webinar:
🔸We will introduce confidential computing as a method for safeguarding data, with a specific focus on its application within RAG systems for securing data during usage or processing;
🔸We will outline best practices for implementing confidential computing in AI environments, ensuring that data remains protected while still enabling advanced AI capabilities.
Join us to discover how to develop secure, privacy-compliant data and AI solutions with confidential computing.
Learn more about
🔸Confidential Computing https://ubuntu.com/confidential-computing
🔸Canonical LLM RAG Workshop https://assets.ubuntu.com/v1/6714fdb2-Build%20an%20Optimised%20and%20Secure%20LLM%20with%20Retrieval%20Augmented%20Generation%20Data%20Sheet.pdf
🔸GenAI infrastructure to take your models to production https://canonical.com/solutions/ai/genai
🔸Charmed OpenSearch tools and services for RAG systems https://canonical.com/data/opensearch
Contact our team: https://canonical.com/data/opensearch#get-in-touch
#machinelearning #llm #ai #opensearch #confidentialcomputing Read More Canonical Ubuntu
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