Google Cloud Off-The-Shelf Open Source 
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. Or they can choose to use a blackbox off-the-shelf ‘AutoML’ solution that simplifies their problem at the expense of flexibility and control.”
CIO
AUGUST 16, 2023
Many, if not most, enterprises deploying generative AI are starting with OpenAI, typically via a private cloud on Microsoft Azure. Companies are looking at Google’s Bard, Anthropic’s Claude, Databricks’ Dolly, Amazon’s Titan, or IBM’s WatsonX, but also open source AI models like Llama 2 from Meta.
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CIO
JULY 24, 2024
The challenge, as many businesses are now learning the hard way, is that simply applying black box, off-the-shelf LLMs, like a GPT-4, for example, will not deliver the accuracy and consistency needed for professional-grade solutions. The key to this approach is developing a solid data foundation to support the GenAI model.
CIO
APRIL 25, 2024
With questions around ROI, increasing outlay, and corporate scrutiny on IT cost savings on the rise, CIOs must know not only what contributes to their organization’s overall cloud spend but also how to optimize it. And that’s all before considering the need to fuel new AI initiatives , which can push cloud costs up further.
CIO
JULY 14, 2023
But many organizations are limiting use of public tools while they set policies to source and use generative AI models. In the shaper model, you’re leveraging existing foundational models, off the shelf, but retraining them with your own data.” As so often happens with new technologies, the question is whether to build or buy.
O'Reilly Media - Ideas
MARCH 11, 2025
DeepSeeks licensing was surprisingly open, and that also sent shock waves through the industry: The source code and weights are under the permissive MIT License, and the developers have published a reasonably thorough paper about how the model was trained. Thats roughly 1/10th what it cost to train OpenAIs most recent models.
O'Reilly Media - Ideas
OCTOBER 19, 2021
This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. The new category is often called MLOps. However, the concept is quite abstract.
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