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. How will AI adopters react when the cost of renting infrastructure from AWS, Microsoft, or Google rises?
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.
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Tasktop
MAY 24, 2021
Dr. Chris Strear shared a remarkable story about applying the theory of constraints in healthcare. Citing the Navy’s “leadership factory”, he encouraged attendees to focus on tuning a system for building leaders, to give them the responsibility and ownership to hone their skills and come back “stronger” from missions.
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.
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 ). blockade','arizona'] ? ?
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