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To Make Your Model Better, First Figure Out What’s Wrong

To Make Your Model Better, First Figure Out What’s Wrong

Many ML teams adopt an attitude towards development that can be best described as “throwing things at the wall and seeing what sticks.”
Go to the profile of Peter Gao
Peter Gao
A Guide To Few-Shot Learning With Embeddings

A Guide To Few-Shot Learning With Embeddings

With neural network embeddings, common machine learning data tasks become very easy.
Go to the profile of Peter Gao
Peter Gao
What Is ML Data Operations?

What Is ML Data Operations?

ML Data Operations is the set of practices around understanding, handling, and improving the data used in machine learning systems.
Go to the profile of Peter Gao
Peter Gao
Introducing Fine-Tuned Embedding Generation In Aquarium

Introducing Fine-Tuned Embedding Generation In Aquarium

Aquarium now generates high quality embeddings that are fine-tuned for your domain.
Go to the profile of Peter Gao
Peter Gao
Lessons From Deploying Deep Learning To Production

Lessons From Deploying Deep Learning To Production

Sharing lessons so you don’t learn them the hard way. Or: How to do ML Engineering at the gym.
Go to the profile of Peter Gao
Peter Gao
Introducing Collection Campaigns

Introducing Collection Campaigns

We’re excited to announce Collection Campaigns, which help you quickly collect the data you need for your machine learning model
Go to the profile of Quinn
Quinn
The Unreasonable Effectiveness Of Neural Network Embeddings

The Unreasonable Effectiveness Of Neural Network Embeddings

Neural network embeddings are remarkably effective in organizing and wrangling large sets of unstructured data.
Go to the profile of Peter Gao
Peter Gao
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