unit test – Andrew Fairless, Ph.D.

What I Read: LLM evaluation

By Andrew Fairless on October 21, 2024July 22, 2024

https://hamel.dev/blog/posts/evals Your AI Product Needs EvalsHow to construct domain-specific LLM evaluation systems.Hamel HusainMarch 29, 2024 “…I’ve seen many successful and unsuccessful approaches to building LLM products. I’ve found that unsuccessfulContinue readingWhat I Read: LLM evaluation

What I Read: Against LLM

By Andrew Fairless on June 29, 2023May 31, 2023

https://explosion.ai/blog/against-llm-maximalism Against LLM maximalismby Matthew HonnibalMay 18, 2023 “However, LLMs are not a direct solution to most of the NLP use-cases companies have been working on… if you want toContinue readingWhat I Read: Against LLM

What I Read: Functional, Object Oriented Programming

By Andrew Fairless on May 1, 2023March 30, 2023

Functional Programming IS NO BETTER Object Oriented ProgrammingContinuous Delivery “Which of these software paradigms will offer you the best chance of success in which instances?”

What I Read: Data Pipeline Smoke Tests

By Andrew Fairless on January 4, 2023November 5, 2022

https://dagster.io/blog/smoke-test-data-pipeline The Unreasonable Effectiveness of Data Pipeline Smoke TestsSandy RyzaOctober 19, 2022 “Data practitioners waste time writing unit tests to catch bugs they could have caught with smoke tests.”

What I Read: Testing Firefox, machine learning

By Andrew Fairless on September 29, 2022August 22, 2022

https://hacks.mozilla.org/2020/07/testing-firefox-more-efficiently-with-machine-learning/ Testing Firefox more efficiently with machine learningBy Andrew Halberstadt, Marco CastelluccioPosted on July 9, 2020 “Even with all of these optimizations our CI still runs around 10 compute yearsContinue readingWhat I Read: Testing Firefox, machine learning

What I Read: Data Observability vs. Data Testing

By Andrew Fairless on April 25, 2022March 12, 2022

https://towardsdatascience.com/data-observability-vs-data-testing-everything-you-need-to-know-6f3d7193b388?gi=6618bd7121fd Data Observability vs. Data Testing: Everything You Need to KnowYou already test your data. Do you need data observability, too?Lior GavishFeb 12 “In any data system, there are twoContinue readingWhat I Read: Data Observability vs. Data Testing

What I Watch: Engineering For Data

By Andrew Fairless on March 16, 2022January 20, 2022

https://youtu.be/jeMQld-6BtQ What Is Engineering For Data?Jan 5, 2022Continuous Delivery “What are the big mistakes that data scientists and big organisations often make when dealing with big data? What does engineeringContinue readingWhat I Watch: Engineering For Data

What I Read: Ways I Use Testing as a Data Scientist

By Andrew Fairless on February 15, 2022January 20, 2022

https://www.peterbaumgartner.com/blog/testing-for-data-science/ Ways I Use Testing as a Data ScientistPeter BaumgartnerDecember 22, 2021 “As a data scientist, I wear many different hats, which also made learning about testing difficult. There’s plentyContinue readingWhat I Read: Ways I Use Testing as a Data Scientist

What I Read: Against SQL

By Andrew Fairless on September 1, 2021August 17, 2021

https://scattered-thoughts.net/writing/against-sql/ Against SQLJamie BrandonLast updated 2021-07-09 “The core message that I want people to take away is that there is potentially a huge amount of value to be unlocked byContinue readingWhat I Read: Against SQL

What I Read: I Like Notebooks

By Andrew Fairless on August 17, 2021July 22, 2021

https://youtu.be/9Q6sLbz37gk I Like NotebooksOct 28, 2020Jeremy Howard “I like using Jupyter Notebooks… Particularly when combined with nbdev… In this video, I explain why, and explain why I have a differentContinue readingWhat I Read: I Like Notebooks

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