Archive - Full Stack ML

#10 - Evals for AI: Why Your Application Needs More Than a Vibe

Go beyond vibe checks to ensure your applications work the way you intended

Jun 14 •

April 2025

#9 - Putting Our Bird Embedding Model to Work: Introducing the Web Frontend

To make our embedding model accessible and useful to a wider audience, we developed a modern front-end interface for similarity inference.

Apr 5 •

March 2025

#8 - From Training to Deployment: A Simple Approach to Serving Embedding Models

Now that our MLOps pipeline has trained and built our embedding model, it is now time to serve the model in a Docker container using FastAPI

Mar 22 •

February 2025

#7 - Streamline Your AI Workflow: A Factory Class for LLMs and Embedding Models

LLMFactory and EmbeddingModelFactory classes that will improve the developer experience of an AI Engineer

Feb 23 •

December 2024

#6 - Modelling with Metaflow and MLFlow

After building a model in a Jupyter Notebook, we port our code to be production-ready and we use Metaflow for orchestration and MLFlow for experiment…

Dec 2, 2024 •

October 2024

#5 - Let's build our image embedding model

Building an embedding model is not hard, and in this article we'll have a look at a couple of options

Oct 6, 2024 •

September 2024

#4 - So how do you build a vector embedding model?

This project explores a popular way to build a vector embedding model using your own custom dataset

Sep 29, 2024 •

March 2024

#3 - Weekend fun with SOMs, FastAPI and AWS Lambda Container Images

Today we take a quick pit stop from our F1 Prediction project, and explore a fun little algorithm with our very own python implementation of Kohonen…

Mar 30, 2024 •

October 2023

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