Artificial Inteligence Machine Learning Off-The-Shelf Open Source 
CIO
JANUARY 9, 2024
That quote aptly describes what Dell Technologies and Intel are doing to help our enterprise customers quickly, effectively, and securely deploy generative AI and large language models (LLMs).Many That makes it impractical to train an LLM from scratch. In other words, we are walking a mile in our customers’ shoes.
CIO
JULY 14, 2023
Whether it’s text, images, video or, more likely, a combination of multiple models and services, taking advantage of generative AI is a ‘when, not if’ question for organizations. But many organizations are limiting use of public tools while they set policies to source and use generative AI models.
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TechCrunch
OCTOBER 11, 2022
While at Cruise, Macneil says that he saw firsthand the lack of off-the-shelf tooling for robotics and autonomous vehicle development; Cruise had to hire entire teams to build tooling in-house, including apps for visualization, data management, AI and machine learning, simulation and more. Image Credits: Foxglove.
TechCrunch
MAY 10, 2022
-based companies, 44% said that they’ve not hired enough, were too siloed off to be effective and haven’t been given clear roles. “The major challenges we see today in the industry are that machine learning projects tend to have elongated time-to-value and very low access across an organization.
TechCrunch
JANUARY 12, 2023
Field-programmable gate arrays (FPGA) , or integrated circuits sold off-the-shelf, are a hot topic in tech. Launched in 2021, the goal with Rapid Silicon is to promote, adopt and implement open source tech to address the low- to mid-range FPGA market, according to CEO and co-founder Naveed Sherwani.
Erik Bernhardsson
APRIL 21, 2015
There’s a bunch of companies working on machine learning as a service. Instead of the negative let’s go through the ways I think a machine learning API can actually be useful (ok full disclosure: I don’t think it’s very many). Model fitting isn’t the issue, getting to model fitting is the hard part.
Erik Bernhardsson
APRIL 21, 2015
There’s a bunch of companies working on machine learning as a service. Instead of the negative let’s go through the ways I think a machine learning API can actually be useful (ok full disclosure: I don’t think it’s very many). Model fitting isn’t the issue, getting to model fitting is the hard part.
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