AI News

DECEMBER 10, 2024

Compounding these issues is that generalist tendencies may hinder the efficiency of AI models when applied to specific tasks. For instance, in practical applications, the classification of all kinds of object classes is rarely required, explains Associate Professor Go Irie, who led the research.

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Unite.AI

DECEMBER 19, 2024

Thats why explainability is such a key issue. People want to know how AI systems work, why they make certain decisions, and what data they use. The more we can explain AI, the easier it is to trust and use it. Large Language Models (LLMs) are changing how we interact with AI. Imagine an AI predicting home prices.

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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

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

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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