Dataiku

MARCH 25, 2024

Moreover, M-LLMs adeptly answer questions about visual content, aiding in tasks like image recognition and scene understanding. In this blog post, we delve into the workings of M-LLMs, unraveling the intricacies of their architecture, with a particular focus on text and vision integration.

Visualization 132

Visualization Modeling Experimentation Testing 132

Cloudera

JULY 27, 2021

Here in the virtual Fast Forward Lab at Cloudera , we do a lot of experimentation to support our applied machine learning research, and Cloudera Machine Learning product development. We believe the best way to learn what a technology is capable of is to build things with it.

Data Science 113

Data Science Enterprise Experimentation Machine Learning 113

IBM Big Data Hub

DECEMBER 15, 2023

When AI algorithms, pre-trained models, and data sets are available for public use and experimentation, creative AI applications emerge as a community of volunteer enthusiasts builds upon existing work and accelerates the development of practical AI solutions.

Deep Learning 71

Deep Learning Experimentation Machine Learning Risk 71

IBM Big Data Hub

APRIL 18, 2024

While leaders have some reservations about the benefits of current AI, organizations are actively investing in gen AI deployment, significantly increasing budgets, expanding use cases, and transitioning projects from experimentation to production. Example: A student is struggling with a complex math concept.

Cost-Benefit 95

Cost-Benefit Modeling Manufacturing Interactive 95

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.

Machine Learning 78

Machine Learning Manufacturing Cost-Benefit Deep Learning 78

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. Kubeflow — The Machine Learning Toolkit for Kubernetes.

Testing 300

Testing Machine Learning Consulting Data Quality 300

Domino Data Lab

MAY 8, 2019

Other good related papers include: “ Towards A Rigorous Science of Interpretable Machine Learning ”. Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. On the other hand, as Lipton emphasized, while the tooling produces interesting visualizations, visualizations do not imply interpretation.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105