AI News

DECEMBER 10, 2024

Retaining classes that do not need to be recognised may decrease overall classification accuracy, as well as cause operational disadvantages such as the waste of computational resources and the risk of information leakage. Perhaps most importantly, this method addresses one of AIs greatest ethical quandaries: privacy.

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AI Modeling Black Box AI Big Data AI 312

Unite.AI

MARCH 14, 2024

We’ve heard stories about how artificial intelligence is able to “pick winners” and make overnight fortunes for investors – but even top scientists often have no idea how AI is doing those things. The opportunities afforded by AI are truly significant – but can we trust black box AI to produce the right results?

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Black Box AI Explainability Algorithm AI 299

Unite.AI

MARCH 6, 2025

In the race to advance artificial intelligence, DeepSeek has made a groundbreaking development with its powerful new model, R1. Renowned for its ability to efficiently tackle complex reasoning tasks, R1 has attracted significant attention from the AI research community, Silicon Valley , Wall Street , and the media.

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Large Language Models Explainability Black Box AI AI Research 195

Unite.AI

JUNE 26, 2023

At the root of AI mistakes like these is the nature of AI models themselves. Most AI today use “black box” logic, meaning no one can see how the algorithm makes decisions. Black box AI lack transparency, leading to risks like logic bias , discrimination and inaccurate results.

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Black Box AI Explainable AI Explainability AI 297

Towards AI

NOVEMBER 7, 2024

What’s AI Weekly This week in High Learning Rate, my other newsletter, we go back to the basics and explore the popular retrieval-augmented generation (RAG) method, introduced by a Meta paper in 2020. In one line, RAG answers the known limitations of LLMs, such as non-access to up-to-date information and hallucinations.

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Black Box AI Machine Learning Prompt Engineer Prompt Engineering 115

Unite.AI

DECEMBER 19, 2024

The agent can interact with AI tools and techniques like SHAP or DICE to answer specific questions, such as what factors were most important in the decision or how changing specific details would change the outcome. The conversational agent translates this technical information into something easy to follow.

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Large Language Models Explainable AI Explainability Conversational AI 208

Unite.AI

APRIL 9, 2024

The adoption of Artificial Intelligence (AI) has increased rapidly across domains such as healthcare, finance, and legal systems. However, this surge in AI usage has raised concerns about transparency and accountability. Composite AI is a cutting-edge approach to holistically tackling complex business problems.

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