Hacker News

FEBRUARY 10, 2015

But I think, before we can even consider those, we must first stop, take stock, and admit to ourselves that the systems we currently use to reveal our people only obscure them. The Magazine. We think we can see. There are solutions, I’m sure. This admission will challenge us. Follow this topic. Related Topics: Leadership. Leadership.

Analytics 140

Analytics Analytics 140

ODSC - Open Data Science

JULY 20, 2023

Those issues included descriptions of the types of data centers, the infrastructure required to create these centers, and alternatives to using them, such as edge computing and cloud computing. We focus on staffing, budgeting, and financial issues.

AI 52

AI AI Cloud Computing Data Scientist 52

Flipboard

MAY 17, 2023

And so it is with the current shock and awe over large language models, such as GPT-4 from OpenAI. It sounds like you don’t think GPT-5 or GPT-6 is going to make a lot of progress on these issues. So for your current company, Robust.AI , this is your target. Now, that’s not the same as intelligence. It’s looking it up.

Cloud Computing 182

Cloud Computing AI AI Computer Science 182

O'Reilly Media

FEBRUARY 13, 2024

Could I get ChatGPT to produce an article from page 37 of the September 18, 1947 issue? But this is chilling: if all AI applications go through one of a small group of monopolists, can we trust those monopolists to deal honestly with issues of bias? Or, for that matter, an article from The Chicago Tribune or The Boston Globe ?

AI 93

AI AI ML ML 93

Hacker News

FEBRUARY 8, 2024

In 1995 he wrote an influential article called “ A Plea for Lean Software ,” published in Computer , the magazine for members of the IEEE Computer Society, which I read early in my career as an entrepreneur and software developer. Many of us programmers know the current situation is untenable. As the U.S.

Azure 181

Azure Cloud Computing AWS Python 181

DataRobot Blog

APRIL 4, 2022

Historically, this analysis was applied to traditional offline media channels: TV, radio, print (magazines, newspaper), out-of-home (billboards and posters), etc. But it is not always obvious that the business expectations need to be set before the project starts: What can be measured with the current state of the data?

Machine Learning 52

Machine Learning Machine Learning ML ML 52

ODSC - Open Data Science

JULY 11, 2023

Simply because the data center use case is broad, with several technical, staffing, business, political, and economic issues to consider. This post focuses on technical and staffing issues, while Parts 2 and 3 will focus on business and other issues, respectively. References 1. The history and evolution of chatbots, on [link] 2.

Data Lakes 40

Data Lakes AI AI Cloud Computing 40

AWS Machine Learning Blog

SEPTEMBER 6, 2023

Training dataset format SageMaker JumpStart currently support datasets in both domain adaptation format and instruction tuning format. Issues when fine-tuning very large models In this section, we discuss two issues when fine-tuning very large models. The following table compares different methods with the three Llama 2 models.

ML 101

ML ML Machine Learning Machine Learning 101