Remove research mosaic
article thumbnail

Calibrating the Mosaic Evaluation Gauntlet

databricks

The Databricks Mosaic Research team is dedicated. A good benchmark is one that clearly shows which models are better and which are worse.

115
115
article thumbnail

Unpacking Kolmogorov-Arnold Networks

Towards AI

Edge-Based Activation: Exploring the Mathematical Foundations and Practical Implications of KANsPhoto by JJ Ying on Unsplash Researchers at MIT recently introduced a new neural network architecture called Kolmogorov-Arnold Networks (KANs). From research to projects and ideas. Join thousands of data leaders on the AI newsletter.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Researchers from Columbia University and Databricks Conducted a Comparative Study of LoRA and Full Finetuning in Large Language Models

Marktechpost

Researchers aim to enhance the accuracy of these models while minimizing the computational resources needed. Researchers from Columbia University and Databricks Mosaic AI have explored various methods to address this issue, including full finetuning and parameter-efficient finetuning techniques like Low-Rank Adaptation (LoRA).

article thumbnail

Microsoft Researchers Unveil ‘EmotionPrompt’: Enhancing AI Emotional Intelligence Across Multiple Language Models

Marktechpost

Emotional intelligence is a historically placed cornerstone within the vast mosaic of human qualities. New research by CAS, Microsoft, William & Mary, Beijing Normal University, and HKUST investigate the connection between EQ and sophisticated AI models. in performance, truthfulness, and responsibility metrics).

article thumbnail

This AI newsletter is all you need #83

Towards AI

At the same time, Meta is shaking things up by moving their AI research group, FAIR, to the same part of the company as the team building generative AI products across Meta’s apps. On the other hand, the Mosaic-SDF is a simple, novel 3D shape representation for generative models.

article thumbnail

With Five New Multimodal Models Across the 3B, 4B, and 9B Scales, the OpenFlamingo Team Releases OpenFlamingo v2 which Outperforms the Previous Model

Marktechpost

A group of researchers from the University of Washington, Stanford, AI2, UCSB, and Google recently developed the OpenFlamingo project, which aims to build models similar to those DeepMind’s Flamingo team. The researchers also compare their results to the optimized SoTAs published on PapersWithCode.

AI Tools 102
article thumbnail

Using Guardrails for Trustworthy AI, Projected AI Trends for 2024, and the Top Remote AI Jobs in…

ODSC - Open Data Science

Photo Mosaics with Nearest Neighbors: Machine Learning for Digital Art In this post, we focus on a color-matching strategy that is of particular interest to a data science or machine learning audience because it utilizes a K-nearest neighbors (KNN) modeling approach. GPU, and more AI research papers. Learn more here!