insideBIGDATA

OCTOBER 14, 2023

A recent survey of data scientists and engineers revealed that over half (53.3%) of today’s machine learning (ML) teams are planning on deploying a large language model (LLM) application of their own into production “within the next 12 months” or “as soon as possible”. Perhaps even more startling, however, is the finding that nearly one in ten (8.3%) enterprise ML teams have already deployed an LLM application into production.

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Eugene Yan

OCTOBER 14, 2023

The biggest deployment challenges, backward compatibility, multi-modality, and SF work ethic.

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insideBIGDATA

OCTOBER 14, 2023

In this contributed article, Ashley Leonard, president and CEO of Syxsense, reflects on some of the most pertinent issues affecting the adoption of generative AI in security. These include the question of who owns the AI output, how to conduct quality assurance to mitigate unwanted results, and companies' overall preparedness to manage workforce displacement.

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Hacker News

OCTOBER 14, 2023

Introduction to USB.

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Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?

Eugene Yan

OCTOBER 14, 2023

The biggest deployment challenges, backward compatibility, multi-modality, and SF work ethic.

AI 133

AI AI 133

Data Science 101

OCTOBER 14, 2023

Threads Dev Interviews I am finding developers on Threads and interviewing them, right on Threads. You are welcome to follow along and let me know on Threads if you would like to be interviewed. Note: The views in these interviews are personal views and do not represent the interviewee’s employer. “We saw researchers, students and developers unlock amazing use cases with VR once devices became easily accessible and affordable, so I want to see that happen with MR and AR glasses as so

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ODSC - Open Data Science

OCTOBER 14, 2023

In the spirit of open data and growing the data science and AI community, we are thrilled to announce that we are now offering a free ODSC Open Pass, both for in-person and virtual during ODSC West this October 30th to November 2nd. For those of you who haven’t attended an ODSC Conference before, this is the perfect way to dip your toes in and get a feel for what we are all about.

Data Science 52

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Mlearning.ai

OCTOBER 14, 2023

`pip install hypertab` is all you need Overview of the article: Why are tabular data so interesting? Introduction to hypernetworks What is HyperTab? Why use HyperTab? How to use HyperTab? How does HyperTab perform? GitHub - wwydmanski/hypertab Why are tabular data so interesting? Different types of datasets. Source: [parrot] , [time series] There are many different types of data —real world images, time series, natural language, and, of course, tabular.

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