IBM Journey to AI blog

JANUARY 8, 2024

Efforts to further expand the use of emerging technologies to address this ongoing need put responsible artificial intelligence (AI) at the center of possible solutions. As the use cases of AI and other technologies continue to permeate the judiciary, judges, lawyers and staff must continue to be at the center of all decisions.

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Categorization Automation Explainability AI 264

IBM Journey to AI blog

AUGUST 16, 2023

Systems: Producing ethical and unbiased systems, including explainable AI. Learn more on how IBM follows the Responsible.Computing() framework in the Cloud computing space in the white paper “IBM Public Cloud – A Responsible.Computing() Provider.”

Explainable AI 173

Explainable AI Explainability AI AI 173

IBM Journey to AI blog

JANUARY 15, 2024

In 2024, the ongoing process of digitalization further enhances the efficiency of government programs and the effectiveness of policies, as detailed in a previous white paper. Two critical elements driving this digital transformation are data and artificial intelligence (AI).

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Generative AI Responsible AI Neural Network Natural Language Processing 200

Marktechpost

OCTOBER 28, 2024

With over 100 models spanning multiple use cases such as chat, coding, math, function calling, and embedding models, Model Depot aims to provide to the open-source AI community an unprecedented collection of the latest SLMs that are optimized for Intel-based PCs in Intel’s OpenVINO as well as ONNX formats. faster than PyTorch and up to 7.5x

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Deep Learning Explainability Generative AI Chatbots 134

Flipboard

SEPTEMBER 25, 2023

The companies include: Talc AI, a service for assessing large language models. Watto AI, an AI program that generates consulting reports. Neum AI, a platform designed to assist companies in maintaining the relevancy of their AI applications with the latest data. Talc AI Talc.ai

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Large Language Models Explainability Natural Language Processing Software Engineer 166

Towards AI

JUNE 5, 2023

Last Updated on June 14, 2023 by Editorial Team Author(s): Anirudh Mehta Originally published on Towards AI. In May 2021, Khalid Salama, Jarek Kazmierczak, and Donna Schut from Google published a white paper titled “Practitioners Guide to MLOps”. Source: Image by the author.

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ML Data Scientist Automation Algorithm 52

Applied Data Science

AUGUST 2, 2021

This post is a bitesize walk-through of the 2021 Executive Guide to Data Science and AI  — a white paper packed with up-to-date advice for any CIO or CDO looking to deliver real value through data. Explainable ML When modelling business process, the why is often more important than the what.

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Data Science Data Scientist Machine Learning Automation 52