Remove 2022 Remove Document Remove Experimentation Remove Modeling
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Going ‘AI native’ with in-house ChatGPT the MITRE way

CIO Business Intelligence

in late November 2022 — MITRE would be among the first organizations looking to capitalize on the technology, launching MITREChatGPT a month later. And it enables research teams to analyze legislation and policy documents in record time, delivering plans for proposed changes to these critical agencies in a day rather than weeks.

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King County enlists AI to reduce drug overdose deaths

CIO Business Intelligence

Seattle, the county seat, reported nearly 600 drug overdose deaths in 2022, an increase of 72% from the previous year. In many cases, additional documents are involved in the process, such as toxicology reports. The ML models include classic ML and deep learning to predict category labels from the narrative text in reports.

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Demystifying Multimodal LLMs

Dataiku

This scenario is not science fiction but a glimpse into the capabilities of Multimodal Large Language Models (M-LLMs), where the convergence of various modalities extends the landscape of AI. But instead, a machine seamlessly identifies the scene and its location, provides a detailed description, and even suggests nearby attractions.

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It’s a new dawn of AI-powered knowledge management

CIO Business Intelligence

But the rise of large language models (LLMs) is starting to make true knowledge management (KM) a reality. These models can extract meaning from digital data at scale and speed beyond the capabilities of human analysts. In 2022, OpenAI lost $540 million despite having raised $11.3 billion in funding rounds.

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Rapid AI Iteration, Reducing Cycle Time: Key Learnings from the Big Data & AI World Asia Conference

DataRobot Blog

A packed keynote session showed how repeatable workflows and flexible technology get more models into production. Our in-booth theater attracted a crowd in Singapore with practical workshops, including Using AI & Time Series Models to Improve Demand Forecasting and a technical demonstration of the DataRobot AI Cloud platform.

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Accelerating scope 3 emissions accounting: LLMs to the rescue

IBM Big Data Hub

This article explores an innovative way to streamline the estimation of Scope 3 GHG emissions leveraging AI and Large Language Models (LLMs) to help categorize financial transaction data to align with spend-based emissions factors. Figure 1 illustrates the framework for Scope 3 emission estimation employing a large language model.

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AI Governance: Break open the black box

IBM Big Data Hub

It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation. IBM Global AI Adoption Index 2022.). Multiple unsupported tools for building and deploying models. This includes capturing of the metadata, tracking provenance and documenting the model lifecycle.