The Morning Paper

JULY 7, 2019

Previously on The Morning Paper we’ve looked at the spread of machine learning through Facebook and Google and some of the lessons learned together with processes and tools to address the challenges arising. In large scale systems with more than a single model, each model’s results will affect one another’s training and tuning processes.

Software Engineering 92

Software Engineering Engineering Software Software 92

O'Reilly

NOVEMBER 28, 2023

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. Such policies would be designed to mitigate legal problems and require regulatory compliance. of users and 3.9%

Open Source 112

Open Source Artificial Intelligence Google Infrastructure 112

Percona

JANUARY 14, 2019

This time I’m trying to find the news keywords of the year using all reddit comments: basically I’m calculating the most frequently used new words for the specific year (algorithm based on an article about finding trending topics using Google Books n-grams data ). At the same time, it was not originally designed that way.

Database 40

Database Analytics Blockchain Healthcare 40

O'Reilly

OCTOBER 11, 2022

As a trend, it’s not performing well on Google; it shows little long-term growth, if any, and gets nowhere near as many searches as terms like “Observability” and “Generative Adversarial Networks.” We’ll see it in healthcare. However, growth always ends: nothing grows exponentially forever, not even Facebook and Google.

Games 120

Games Healthcare Processing Retail 120