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Using Comet for Interpretability and Explainability

Heartbeat

In the ever-evolving landscape of machine learning and artificial intelligence, understanding and explaining the decisions made by models have become paramount. Enter Comet , that streamlines the model development process and strongly emphasizes model interpretability and explainability. Why Does It Matter?

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Transforming customer service: How generative AI is changing the game

IBM Journey to AI blog

Generative AI has the potential to significantly disrupt customer care, leveraging large language models (LLMs) and deep learning techniques designed to understand complex inquiries and offer to generate more human-like conversational responses. Watsonx.data allows scaling of AI workloads using customer data. Watsonx.ai

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Advancing Human-AI Interaction: Exploring Visual Question Answering (VQA) Datasets

Heartbeat

Despite its significance, a thorough analysis uncovers inherent biases within COCO-VQA that have the potential to influence the learning trajectory of AI models. COCO-QA: Shifting attention to COCO-QA, questions are categorized based on types such as color, counting, location, and object. In xxAI — Beyond Explainable AI Chapter.

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AI News Weekly - Issue #354: The top 100 people in A.I. - Oct 12th 2023

AI Weekly

pitneybowes.com In The News AMD to acquire AI software startup in effort to catch Nvidia AMD said on Tuesday it plans to buy an artificial intelligence startup called Nod.ai nature.com Ethics The world's first real AI rules are coming soon. [Get your FREE REPORT.] as part of an effort to bolster its software capabilities.

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Bias Detection in Computer Vision: A Comprehensive Guide

Viso.ai

Bias Detection in Computer Vision: A Guide to Types and Origins Artificial Intelligence (AI) bias detection generally refers to detecting systematic errors or prejudices in AI models that amplify societal biases, leading to unfair or discriminatory outcomes. This section will use the framework outlined here.

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Computer Vision Tasks (Comprehensive 2024 Guide)

Viso.ai

Edge AI involves processing data near the source. Therefore, edge devices like servers or computers are connected to cameras and run AI models in real-time applications. Real-Time Computer Vision: With the help of advanced AI hardware , computer vision solutions can analyze real-time video feeds to provide critical insights.

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Showcasing the Power of AI in Investment Management: a Real Estate Case Study

DataRobot Blog

Datarobot enables users to easily combine multiple datasets into a single training dataset for AI modeling. The great thing about DataRobot Explainable AI is that it spans the entire platform. Understand & Explain Models with DataRobot Trusted AI. Processing Multimodal Datasets. Property features.