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. Traditional AI primarily relies on algorithms and extensive labeled data sets to train models through machine learning.

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Generative AI Responsible AI Neural Network Natural Language Processing 200

Towards AI

JUNE 5, 2023

In May 2021, Khalid Salama, Jarek Kazmierczak, and Donna Schut from Google published a white paper titled “Practitioners Guide to MLOps”. The white paper goes into great depth on the concept of MLOps, its lifecycle, capabilities, and practices. Source: Image by the author. 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. This allows for a much richer interpretation of predictions, without sacrificing the algorithm’s power.

Data Science 52

Data Science Data Scientist Machine Learning Automation 52

IBM Journey to AI blog

JANUARY 8, 2024

With digitization adopted by law firms and court systems, a trove of data in the form of court opinions, statutes, regulations, books, practice guides, law reviews, legal white papers and news reports are available to be used to train both traditional and generative AI foundation models by judicial agencies.

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Categorization Automation Explainability Generative AI 264

Marktechpost

OCTOBER 28, 2024

In a recent white paper, LLMWare found that deploying 4-bit quantized small language models (1B-9B parameters) in the OpenVINO format maximizes model inference performance on Intel AI PCs. Rise of Generative AI unlocks new application experiences that were not available with previous generations of data processing algorithms.

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Deep Learning Explainability Generative AI Chatbots 135