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Update Blog “build-your-first-ai-chatbot-on-hpe-private-cloud-ai-using-flowise-and-hpe-mlis”
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content/blog/build-your-first-ai-chatbot-on-hpe-private-cloud-ai-using-flowise-and-hpe-mlis.md

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@@ -78,7 +78,19 @@ Click the *Open* button on the *Flowise* Tile, or click on the *Endpoint* URL to
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## Deploy a LLM in HPE MLIS
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### 1. Access the FlowiseAI UI
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HPE MLIS is accessed by clicking on 'HPE MLIS' tile in *Tools & Frameworks / Data Engineering* tab.
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![](/img/mlis.jpg)
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To deploy a pre-packaged LLM(Meta/Llama3-8b-instruct) in HPE MLIS, Add 'Registry', 'Packaged models' and 'Deployments'.
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### 1. Add 'Registry'
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Add a new registry of type 'NGC', which can be used to access pre-packaged LLMs.
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![](/img/mlis-registry.jpg)
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After deployment, access FlowiseAI via the configured endpoint (e.g., `https://chatbot.ingress.pcai0104.ld7.hpecolo.net`). Log in with your admin credentials.
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