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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Unite.AI

MARCH 14, 2024

The opportunities afforded by AI are truly significant – but can we trust black box AI to produce the right results? Instead of utilizing AI systems that they cannot explain – black box AI systems – they could utilize AI platforms that use transparent techniques , explaining how they arrive at their conclusions.

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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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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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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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Unite.AI

MARCH 6, 2025

It excels in performing logic-based problems, processing multiple steps of information, and offering solutions that are typically difficult for traditional models to manage. This success, however, has come at a cost, one that could have serious implications for the future of AI development.

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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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