Sometime machine learning feels like the art of wiring together config options.
@gdb
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Machine Learning Engineering: Curiosity-Driven Debugging and Performance Optimization
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Machine learning engineering rewards a particular kind of curiosity. Progress often requires digging into any surprising numerical discrepancy or slight wiggle in the performance graphs. Makes the job a lot more fun if you view those explorations as exciting rather than tedious.
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President Yoon Discussion Highlights Korean AI Entrepreneurial Energy
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It was an honor to discuss AI with President Yoon. Very impressed by the entrepreneurial energy of and how deeply startups, enterprises, and the government are already engaging with AI.
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GPT Models Now Available for US Federal Agencies on Azure
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GPT models will soon be available for federal agencies using Azure:
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Yokosuka city government adopts ChatGPT for municipal services
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ChatGPT as a tool for city government: https://
japantimes.co.jp/news/2023/06/0
6/national/yokosuka-adopts-chatgpt/
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ChatGPT Hiring for AI Model Evaluation Specialists
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ChatGPT team is hiring. Especially looking for people who like to do the detail (and often unappreciated in this field!) work of digging deep into & figuring out how to rigorously evaluate the models. Major perk — you'll get to work with @barret_zoph and other amazing talent:
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GPT-4 Reduces Medical Record Creation Time to Four Minutes
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GPT-4 in @CarbonHealth — cuts the time to create a medical record to four mins, saving doctors 10 minutes: https://
bloomberg.com/news/articles/
2023-06-05/technology-behind-chatgpt-has-arrived-in-the-doctor-s-office?srnd=premium#xj4y7vzkg
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Python Walrus Operator Reduces Boilerplate Code Elegantly
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Have recently started using the walrus operator (:=) everywhere in my Python code, which lets you write code like this: if foo := bar(): print(foo) vs: foo = bar()
if foo: print(foo) Love little reductions in boilerplate without sacrificing clarity — they add up.
