Dataset
Artificial Intelligence
Controversial AI Training Dataset Resurfaces After Illegal Content Is Removed
A synthetic intelligence (AI) dataset that was reportedly removed on account of illegal content issues has resurfaced after being modified. The group that built the dataset said it had removed all problematic links. It's...
Artificial Intelligence
Copyright watchdog halts distribution of AI training datasets
A Dutch copyright watchdog has said it has stopped the distribution of a dataset used to coach artificial intelligence (AI). The group, which has been cracking down on piracy for greater than twenty years,...
Artificial Intelligence
An AI dataset carves recent paths to tornado detection
The return of spring within the Northern Hemisphere touches off tornado season....
Artificial Intelligence
Cohere launches open source LLM for 101 languages…”Efforts for non-English speaking countries”
Cohere Launches Open Source LLM for 101 Languages..."Efforts for Non-English Languages"
Artificial intelligence (AI) startup Cohere has launched a latest multilingual open source Large Language Model (LLM) that operates in 101 languages ​​to bridge...
Artificial Intelligence
A latest dataset of Arctic images will spur artificial intelligence research
Because the U.S. Coast Guard (USCG) icebreaker Healy takes part in a...
Artificial Intelligence
Introducing an API that creates insufficient training data
A synthetic intelligence (AI) tool has been developed that generates synthetic data from situations which are difficult to gather in point of fact, similar to a highway where a taxi overturns across two lanes...
Artificial Intelligence
Evaluate the Performance of Your ML/ AI Models 1. Split the dataset for higher evaluation. 2. Define your evaluation metrics. 3. Validate and tune the model’s hyperparameters. 4....
An accurate evaluation is the one solution to performance improvementValidating an AI/ ML model just isn't a linear process but more of an iterative one. You undergo the information split, the hyperparameters tuning, analyzing,...
Artificial Intelligence
The Power of Bayesian Causal Inference: A Comparative Evaluation of Libraries to Reveal Hidden Causality in Your Dataset.
Library 1: Bnlearn for Python.Bnlearn is a Python package that's suited to creating and analyzing Bayesian Networks, for discrete, mixed, and continuous data sets . It's designed to be ease-of-use and comprises the most-wanted...
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