From fe8aef52384dafc563a6e2bbcf63265c56b34371 Mon Sep 17 00:00:00 2001 From: Zeeshan Lakhani Date: Wed, 1 May 2024 12:26:29 -0400 Subject: [PATCH] Update example-llm-workflows/README.md Co-authored-by: Brian Ginsburg <7957636+bgins@users.noreply.github.com> Signed-off-by: Zeeshan Lakhani --- example-llm-workflows/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/example-llm-workflows/README.md b/example-llm-workflows/README.md index 8599d7af..97f46996 100644 --- a/example-llm-workflows/README.md +++ b/example-llm-workflows/README.md @@ -411,7 +411,7 @@ Is there a way to always provide *new* hallucinations from the Host model? Yes, ## Foundations for Privacy -The learning goals of this project were to experiment with working with LLMs locally on hosts where the training data and tuning of a model remains private and only derived information from prompt-based AI chains can be shared with other users/peers for consumption. AI computation is possible without being tied to a specific vendor or large cloud provider. Essentially, this showcases a positive avenue for decentralized, user-controlled AI-oriented computation that's everything that [IEEE Spectrum's Open-Source AI Is Uniquely Dangerous][ieee] isn't. +The learning goals of this project were to experiment with working with LLMs locally on hosts where the training data and tuning of a model remains private and only derived information from prompt-based AI chains can be shared with other users/peers for consumption. AI computation is possible without being tied to a specific vendor or large cloud provider. Essentially, this project showcases a positive avenue for decentralized, user-controlled AI-oriented computation that's everything that [IEEE Spectrum's Open-Source AI Is Uniquely Dangerous][ieee] isn't. Localized, open-source LLM models for home and on-prem use cases are growing in popularity, even leading to the creation of a [LocalLLaMA reddit][reddit-post] community! We've seen how [GDPR][gdpr] has increased the need for companies to be more careful around [PII management and data privacy isolation across regions and region-compliance laws][so-privacy].