Building AI Products From Scratch

Data Labeling for Generative AI 101

A rough draft.

Jul 30, 2024 • 

Mikiko Bazeley

6

April 2024

Managing Drift & Data Quality

Part 3/n of a high-level intro to why all models (even gen-AI) will change & how to start responding on the data level

Apr 5, 2024 • 

Mikiko Bazeley

5

All Models Fade - The Inevitability of Change

Part 2/n on what drift is, why it matters, and how we can start monitoring it.

Apr 3, 2024 • 

Mikiko Bazeley

The Hard Part About Production ML Isn’t Getting Started...

Part 1/n on data quality for production ML, inspired by Chad & mark's new O'Reilly book on data contracts.

Apr 1, 2024 • 

Mikiko Bazeley

9

October 2023

The Race To Solve The Data-ML Divide: Designing The Next Data-Centric AI Platform That Can *Actually* Help Drive Value With Gen-AI

Basically 👩🏻‍💻 New Job Alert 👩🏻‍💻

Oct 12, 2023 • 

Mikiko Bazeley

7

September 2023

Join my chat

A private space for us to converse and connect

Sep 8, 2023 • 

Mikiko Bazeley

2

1

May 2023

Traditional Feature Engineering as A Still Important Pillar, Alongside Embeddings & Prompts

Plus: Announcing that 3 months of blood, sweat, & tears has come to fruition!

May 25, 2023 • 

Mikiko Bazeley

2

2

🗣️ LLMOps, GenAI Stacks, & ML Platform Job Displacement 💬

This past week, I got the chance to engage in the following awesome activities:

May 16, 2023 • 

Mikiko Bazeley

9

Learning MLOps (Gradually) for Free Through Blog Posts & Podcasts

Introduction

May 5, 2023 • 

Mikiko Bazeley

1

🤖 What An MLOps Engineer Does 💻

📆 And What The Week Can Look Like

May 1, 2023 • 

Mikiko Bazeley

12

April 2023

5 Major Lessons Learned as an ML Engineer Turned Head of Dev Rel & Solutions For an Open-Core MLOps Startup. Part 1/2.

Or How I Try To Sneakily Explain Where I've Been For The Past 6 Months.

Apr 23, 2023 • 

Mikiko Bazeley

2

A Discussion: Top Challenges of Moving Data Science to Production.

We know MLOps and Production ML are hard.

Apr 21, 2023 • 

Mikiko Bazeley

1