CIO
APRIL 10, 2024
Inferencing has emerged as among the most exciting aspects of generative AI large language models (LLMs). A quick explainer: In AI inferencing , organizations take a LLM that is pretrained to recognize relationships in large datasets and generate new content based on input, such as text or images.
CIO
FEBRUARY 15, 2024
But to achieve Henkel’s digital vision, Nilles would need to attract data scientists, data engineers, and AI experts to an industry they might not otherwise have their eye on. The team experimented with using Just Ask with the TPO tool, and quickly saw it as the key to fulfilling the tool’s promise.
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CIO
DECEMBER 14, 2023
The customer relationship management (CRM) software provider’s Data Cloud, which is a part of the company’s Einstein 1 platform, is targeted at helping enterprises consolidate and align customer data. The Einstein Trust Layer is based on a large language model (LLM) built into the platform to ensure data security and privacy.
InnovationM
APRIL 25, 2024
Deploying a Large Language Model (LLM) on RunPod Leveraging the prowess of RunPod for deploying Large Language Models (LLMs) unveils a realm of possibilities in distributed environments. Model Selection: Choose the specific LLM model you want to deploy. How to approach it?
CIO
SEPTEMBER 29, 2022
Managing all of its facets, of course, requires many different approaches and tools to achieve beneficial outcomes, and Mano Mannoochahr, the companyâ??s s SVP and chief data & analytics officer, has a crowâ??s s nest perspective of immediate and long-term tasks to equally strengthen the company culture and customer needs.
CIO
JULY 14, 2023
But many organizations are limiting use of public tools while they set policies to source and use generative AI models. CIOs want to take advantage of this but on their terms—and their own data. A general LLM won’t be calibrated for that, but you can recalibrate it—a process known as fine-tuning—to your own data.
Mentormate
DECEMBER 12, 2023
In a previous blog post, we introduced a five-phase framework to plan out Artificial Intelligence (AI) and Machine Learning (ML) initiatives. The Traditional Machine Learning Workflow Initiating a traditional ML project begins with collecting data. Duplicated records are identified and rectified.
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