AWS Machine Learning Blog

NOVEMBER 16, 2023

This heterogeneity initially enabled different teams to move fast in their early AI development efforts, but is now holding back opportunities to scale and improve efficiency of our AI development processes. Non-functional requirements Building a scalable and robust AI/ML platform requires careful consideration of non-functional requirements.

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Heartbeat

SEPTEMBER 7, 2023

Think of it as a meticulously organized lab notebook, but one that can handle the complexity of modern ML workflows. It provides interactive charts and visualizations to help you gain insights into your model’s behavior. You can share your experiments, insights, and findings effortlessly. import comet_ml # Initialize Comet.ml

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Hacker News

FEBRUARY 11, 2024

A few minutes after I had the Zoom call with the CEO, my access to all company resources was cut off. The closest I have been in the past is during the dot com bust, when the project I was working on at Ericsson was cut. All the other times I have changed jobs, it’s been on my own initiative, while still being employed.

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Towards AI

AUGUST 17, 2023

Though open to functional improvements, Churchill pushed for the restoration of the arena. This notion, sometimes called “architectural determinism,” suggests our built environment profoundly influences human behavior. Yet while effective, RLHF requires immense resources. While it may have been noisy and messy, it was authentic.

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phData

AUGUST 15, 2023

And from those initial stumbles, I gathered a wealth of insights. I’m going to share all that hard-won wisdom with you. dbt Labs is a robust platform that allows individuals comfortable with SQL to incorporate software engineering’s best practices into their data transformation pipelines. So, here’s the scoop.

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The MLOps Blog

MARCH 21, 2023

This guide is a result of my conversations with platform and ML engineers and public resources from platform engineers in companies like Shopify , Lyft , Instacart , and StitchFix. Because ML projects are inherently experimental, your data scientists will always try out new ways to: Work with data, Build models, And set up parameters.

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AWS Machine Learning Blog

JANUARY 13, 2023

Standardize building and reuse of AI solutions across business functions and AI practitioners’ personas, while ensuring adherence to enterprise best practices: Automate and standardize the repetitive undifferentiated engineering effort. Provide easy access to scalable computing resources. The challenges. Data service.

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