Update example-llm-workflows/README.md

Co-authored-by: Brian Ginsburg <[email protected]>
Signed-off-by: Zeeshan Lakhani <[email protected]>

example-llm-workflows/README.md

@@ -430,7 +430,7 @@ In the [video walkthrough][video] we showcase how one node built without LLM fea
 
 ### Running LLM Tasks Offline
 
-The [video walkthrough][video] illustrates the power of executing AI-focused computational workflows on local devices, particularly in offline scenarios. This can also be extended to scenarios where one wants to intentionally restrict online connectivity. All of this not only underscores the versatility and robustness of decentralized AI frameworks but also highlights the broader implications of embracing [local-first software][wired] principles within the realm of HCI/AI. By prioritizing local execution and data processing, users gain greater control over their computing environments, ensuring privacy, and security, and reducing reliance on external infrastructures.
+The [video walkthrough][video] illustrates the power of executing AI-focused computational workflows on local devices, particularly in offline scenarios. This can also be extended to scenarios where one wants to intentionally restrict online connectivity. All of this not only underscores the versatility and robustness of decentralized AI frameworks but also highlights the broader implications of embracing [local-first software][wired] principles within the realm of HCI/AI. By prioritizing local execution and data processing, users gain greater control over their computing environments, ensuring privacy and security, and reducing reliance on external infrastructures.
 
 This paradigm shift towards local-first approaches resonates deeply within ongoing HCI/AI research, emphasizing user empowerment, data sovereignty, and the preservation of privacy in an increasingly interconnected landscape. As the boundaries between digital and physical realms blur, embracing local-first methodologies becomes pivotal in shaping a more transparent, accountable, and user-centric future for AI-driven technologies.