---
title: "Productionising LLMs and ML Models with Analytics.gov: MOM’s Journey into AI Solution Deployment"
url: https://daily.dev/posts/productionising-llms-and-ml-models-with-analytics-gov-mom-s-journey-into-ai-solution-deployment-ppw0e7zoe
source_url: https://medium.com/dsaid-govtech/productionising-llms-and-ml-models-with-analytics-gov-moms-journey-into-ai-solution-deployment-bad4ceb12df2
type: article
source: "Medium"
published: 2024-05-03T02:52:44.558Z
updated: 2024-05-09T08:43:33.910Z
tags: ["data-science", "mlops"]
reading_time: 10
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.

# Productionising LLMs and ML Models with Analytics.gov: MOM’s Journey into AI Solution Deployment

**[Medium](https://daily.dev/sources/medium_js)** · 10 min read · 1 upvotes · 0 comments

## Summary

The MOM Forward Deployed Team shares their experience in leveraging Analytics.gov and Container Stack to develop and deploy two end-to-end AI products. Analytics.gov streamlines AI development and deployment for government agencies, while Container Stack provides an integrated platform for containerized applications. The team was able to improve accuracy of job ads classification, enable data-driven policymaking, and facilitate sensemaking of large volumes of documents.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://medium.com/dsaid-govtech/productionising-llms-and-ml-models-with-analytics-gov-moms-journey-into-ai-solution-deployment-bad4ceb12df2>

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---

Tags: [#data-science](https://daily.dev/tags/data-science), [#mlops](https://daily.dev/tags/mlops)

[View this post on daily.dev](https://daily.dev/posts/productionising-llms-and-ml-models-with-analytics-gov-mom-s-journey-into-ai-solution-deployment-ppw0e7zoe)