Explainable AI (XAI) aims at helping you understand and interpret predictions made by AI techniques and tools. Recently, there has been a growing interest in XAI as many users want explanations to the ...
The hype over Large Language Models (LLMs) has reached a fever pitch. But how much of the hype is justified? We can't answer that without some straight talk - and some definitions. Time for a ...
The method used to train a large language model (LLM). An AI model's neural network learns by recognizing patterns in the data and constantly predicting what comes next. With regard to text models, ...
Global research by McKinsey shows that the adoption of AI in businesses more than doubled between 2017 and 2022. In 2017, 20% of respondents reported adopting AI in at least one business area. By 2022 ...
AI decisions are only defensible when the reasoning behind them is visible, traceable, and auditable. “Explainable AI” delivers that visibility, turning black-box outputs into documented logic that ...
Machine learning and artificial intelligence are helping automate an ever-increasing array of tasks, with ever-increasing accuracy. They are supported by the growing volume of data used to feed them, ...
Explainable AI (XAI) allows brands to be transparent in their use of AI applications, which increases user trust and the overall acceptance of AI. Artificial intelligence is going mainstream. If ...
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