Machine Learning Ops Roundup

Issue #31: Refuel.ai. LLMs can label data better than humans. Autolabel.

Back with some news! We started a company called Refuel.ai - helping teams create clean, labeled datasets at the speed of thought.

Jun 26, 2023 • 

Rishabh Bhargava

 and 

Nihit Desai

7

March 2022

Issue #30.5: Special Announcement - A new course on MLOps!

Welcome to the latest issue of the MLOps newsletter.

Mar 18, 2022 • 

Nihit Desai

 and 

Rishabh Bhargava

2

January 2022

Issue #30: ML Platforms. On Deck Data Science. Explainability in Healthcare. Re:Invent. ML for Content Moderation.

Happy New Year and welcome to the 30th issue of the MLOps newsletter.

Jan 24, 2022 • 

Rishabh Bhargava

 and 

Nihit Desai

4

October 2021

Issue #29: State of AI. Kaggle ML Survey. ML Deployment at Reddit. Inferentia.

Welcome to the 29th issue of the MLOps newsletter.

Oct 27, 2021 • 

Rishabh Bhargava

 and 

Nihit Desai

2

Issue #28: MAD Landscape. Covid-19 Border Testing. Blocking Spam@Slack. Applying ML. Scikit-learn 1.0.

Welcome to the 28th issue of the MLOps newsletter. We really enjoyed writing this one, hope you enjoy it too! In this issue, we briefly cover Nihit’s…

Oct 4, 2021 • 

Rishabh Bhargava

 and 

Nihit Desai

2

September 2021

Issue #27: Medical Imaging Challenges. Machine Unlearning. Managing Supply and Demand. AI Sandbox.

Welcome to the 27th issue of the MLOps newsletter. It is officially one year since we started writing this newsletter, and we are incredibly grateful…

Sep 20, 2021 • 

Rishabh Bhargava

 and 

Nihit Desai

1

Issue #26: Concept Drift. Anomaly Detection with Self-Supervision. NLP in Legal Applications. Models Per Customer?

Welcome to the 26th issue of the MLOps newsletter.

Sep 7, 2021 • 

Rishabh Bhargava

 and 

Nihit Desai

1

August 2021

Issue #25: Tesla AI Day. Feature Stores. NIST on AI bias. Model monitoring tips. AI and COVID.

Welcome to the 25th issue of the MLOps newsletter. In this issue, we cover Tesla AI Day, a short paper about gaps in feature stores, updates about the…

Aug 23, 2021 • 

Nihit Desai

 and 

Rishabh Bhargava

1

Issue #24: AI at Porsche. Efficient Inference. Bootstrapping Labels. Nearest-Neighbor Benchmarks.

Welcome to the 24th issue of the MLOps newsletter.

Aug 9, 2021 • 

Rishabh Bhargava

 and 

Nihit Desai

3

July 2021

Issue #23: AI Regulations. Efficient Active Learning. Model Health Assurance. Vertex Matching Engine.

Welcome to the 23rd edition of the MLOps newsletter. In this issue, we cover updates on AI regulations and frameworks in the EU and the US, a recent…

Jul 26, 2021 • 

Rishabh Bhargava

 and 

Nihit Desai

Issue #22: Github Copilot. CI/CD for ML at Scale. Concept Drift in Healthcare. Behavioral Testing.

Welcome to the 22nd issue of the MLOps newsletter.

Jul 12, 2021 • 

Nihit Desai

 and 

Rishabh Bhargava

June 2021

Issue #21: Selecting MLOps Capabilities. Continuous Delivery For ML. Static Language Modelling. Sharing Data with AWS.

Welcome to the 21st issue of the MLOps newsletter. In this issue, we cover some tips from Google Cloud on choosing the right MLOps capabilities, share…

Jun 28, 2021 • 

Nihit Desai

 and 

Rishabh Bhargava

3

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