Algorithm Explainability White Paper 
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.
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.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
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.
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.
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.
Expert insights. Personalized for you.
264 
Let's personalize your content