---
title: "A Humanitarian Crises Situation Report AI Assistant: Exploring LLMOps with Prompt Flow"
url: https://daily.dev/posts/a-humanitarian-crises-situation-report-ai-assistant-exploring-llmops-with-prompt-flow-iratbcd1b
source_url: https://towardsdatascience.com/a-humanitarian-crises-situation-report-ai-assistant-exploring-llmops-with-prompt-flow-32968b7a878b
type: article
source: "Towards Data Science"
published: 2024-04-01T20:29:07.530Z
updated: 2024-05-09T08:39:06.345Z
tags: ["devtools", "llmops"]
reading_time: 16
upvotes: 1
comments: 0
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# A Humanitarian Crises Situation Report AI Assistant: Exploring LLMOps with Prompt Flow

**[Towards Data Science](https://daily.dev/sources/tds)** · 16 min read · 1 upvotes · 0 comments

## Summary

This article explores how to implement key areas required for operationalizing Large Language Models (LLMs), such as safety, prompt engineering, grounding, and evaluation. It focuses on using Prompt Flow, an open-source project developed by Microsoft, to create a simple demo AI assistant for answering questions about humanitarian disasters using information from situation reports on the ReliefWeb platform.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://towardsdatascience.com/a-humanitarian-crises-situation-report-ai-assistant-exploring-llmops-with-prompt-flow-32968b7a878b>

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---

Tags: [#devtools](https://daily.dev/tags/devtools), [#llmops](https://daily.dev/tags/llmops)

[View this post on daily.dev](https://daily.dev/posts/a-humanitarian-crises-situation-report-ai-assistant-exploring-llmops-with-prompt-flow-iratbcd1b)
