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ML Ops (Fun)

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Weekly meet time: Thursday 5-6pm EST
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We coordinate using #dg-mlops-fun on the AISC Slack.
 

Overview


We’ve been meeting since Jan 2021 to cover a number of topics. For this cycle we’ll focus on planning the infrastructure of a chat bot service.
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Credit - UX Studio
Credit - UX Studio
We’ll dive into application architecture, data system design, infrastructure design and using a simple open source model.
 

Format

Week
Date
Topic
1
March 10th
Brainstorming and Gathering requirements
2
March 17th
Designing an architecture v1
3
March 24th
Investigating training vs inference architectures
4
March 31st
Dealing with data drift and retraining
5
April 7th
Deploying a sample model (Rasa)
6
April 14th
Adding security
 
Create recipes for a sweet afterparty!
We’ll be working on recipes as part of the working group to capture some of the knowledge we created.
For our final meeting we’ll have a social and you’ll get a gift card to buy something based on your contributions!
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Week of March 10 - Intro and Brainstorming

During week one of the discussion group we brainstormed some ideas on creating a chat app. We documented in a shared doc within three breakout groups. We will using this as a launch point for future weeks.
 

Week of March 17 - Intro to Architecture

During Week two we’ll be starting thinking about designing a logical architecture. We’ll also introduce recipes and how we can contribute to them.
 
Deliverables:
  • Diagram per group of a potential logical architecture
  • How to create a logical architecture recipes
 
Sample architecture (Rasa)
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Past Cycles

Designing a E-commerce Data Platform

ML Ops Security

Through the spring of 2021, we focused our discussions on ML Ops Security, from these I wrote 3 articles to summarize some of the topics.
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MLOps Exploration

 
 
 
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