CIO

JULY 24, 2024

Large language models (LLMs) are hard to beat when it comes to instantly parsing reams of publicly available data to generate responses to general knowledge queries. The key to this approach is developing a solid data foundation to support the GenAI model.

Artificial Inteligence 189

Artificial Inteligence Off-The-Shelf Insurance How To 189

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.

Generative AI 246

Generative AI Artificial Inteligence Open Source ChatGPT 246

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.

Artificial Inteligence 235

Artificial Inteligence Machine Learning Off-The-Shelf Training 235

CIO

AUGUST 16, 2023

Many, if not most, enterprises deploying generative AI are starting with OpenAI, typically via a private cloud on Microsoft Azure. For example, software vendor Nerdio uses generative AI to generate Powershell scripts for its customers, convert installer code from one language to another, and create a custom support chatbot.

Artificial Inteligence 246

Artificial Inteligence Generative AI Open Source ChatGPT 246

O'Reilly Media - Ideas

MARCH 7, 2019

Computers will get as good as humans in complex tasks like reading comprehension, language translation, and creative writing. These systems are harder to build than some of the first computer vision deep learning applications (i.e., Meet the language of emergency room triage notes. Yes, emergency rooms have their own language.

System 93

System Off-The-Shelf Machine Learning Artificial Inteligence 93

O'Reilly Media - Ideas

JANUARY 17, 2023

” I, thankfully, learned this early in my career, at a time when I could still refer to myself as a software developer. Building Models. A common task for a data scientist is to build a predictive model. You might say that the outcome of this exercise is a performant predictive model. Pretty simple.

Software Review 133

Software Review Development Team Review Artificial Inteligence Machine Learning 133

O'Reilly Media - Ideas

FEBRUARY 20, 2019

An overview of emerging trends, known hurdles, and best practices in artificial intelligence. That was the third of three industry surveys conducted in 2018 to probe trends in artificial intelligence (AI), big data, and cloud adoption. These points would have been out of scope for any of the individual reports.

Survey 94

Survey Artificial Inteligence Artificial Intelligence Technical Review 94