Santiago Viquez's picture

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Santiago Viquez

santiviquez

·

https://www.santiviquez.com/

AI & ML interests

ML @ NannyML. Writing "The Little Book of ML Metrics" at https://github.com/NannyML/The-Little-Book-of-ML-Metrics

Recent Activity

posted an update about 2 months ago

Professors should ask students to write blog posts based on their final projects instead of having them do paper-like reports. A single blog post, accessible to the entire internet, can have a greater career impact than dozens of reports that nobody will read.

posted an update about 2 months ago

Some exciting news... We are open-sourcing The Little Book of ML Metrics! 🎉 The book that will be on every data scientist's desk is open source. What does that mean? It means hundreds of people can review it, contribute to it, and help us improve it before it's finished! This also means that everyone will have free access to the digital version! Meanwhile, the high-quality printed edition will be available for purchase as it has been for a while. Revenue from printed copies will help us support further development and maintenance of the book. Not to mention that reviewers and contributors will receive revenue sharing through their affiliate links. 🙌 Check out the book repo (make sure to leave a star 🌟): https://github.com/NannyML/The-Little-Book-of-ML-Metrics

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Articles

I ran 580 model-dataset experiments to show that, even if you try very hard, it is almost impossible to know that a model is degrading just by looking at data drift results

Are your NLP models deteriorating post-deployment? Let’s use unlabelled data to find out

Organizations

santiviquez's activity

upvoted a paper 10 months ago

Fine-grained Hallucination Detection and Editing for Language Models

Paper • 2401.06855 • Published Jan 12 • 3

upvoted a collection 10 months ago

🔍 Daily Picks in Interpretability & Analysis of LMs

Outstanding research in interpretability and evaluation of language models, summarized • 85 items • Updated 12 days ago • 93

upvoted 3 papers 10 months ago

LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models

Paper • 2305.13711 • Published May 23, 2023 • 2

Corrective Retrieval Augmented Generation

Paper • 2401.15884 • Published Jan 29 • 3

We don't need no labels: Estimating post-deployment model performance under covariate shift without ground truth

Paper • 2401.08348 • Published Jan 16 • 1

upvoted a collection 11 months ago

MoEs papers reading list

60 items • Updated 30 days ago • 136