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'Quantum AI' algorithms already outpace the fastest supercomputers, study says

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Image credit: BlackJack3D via Getty Images) Scientists say they have made a breakthrough after developing a quantum computing technique to run machine learning algorithms that outperform state-of-the-art classical computers. The scientists used a method that relies on a quantum photonic circuit and a bespoke machine learning algorithm.

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LLM Benchmarks for Comprehensive Model Evaluation 

Data Science Dojo

The complexity of SuperGLUE tasks drives researchers to develop more sophisticated models, leading to advanced algorithms and techniques. The complexity of HumanEval tasks drives researchers to develop more sophisticated models, leading to advanced algorithms and techniques.

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Muvera: Making multi-vector retrieval as fast as single-vector search

Hacker News

The embeddings are generally compared via the inner-product similarity , enabling efficient retrieval through optimized maximum inner product search (MIPS) algorithms. We have provided an open-source implementation of our FDE construction algorithm on GitHub.

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From Concept to Code: Unveiling the ChatGPT Algorithm

Towards AI

Nevertheless, when I started familiarizing myself with the algorithm of LLMs the so-called transformer I had to go through many different sources to feel like I really understood the topic.In How does the algorithm conclude which token to output next? this article, I want to summarize my understanding of Large Language Models.

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Research: A periodic table for machine learning

Dataconomy

Just like chemical elements fall into predictable groups, the researchers claim that machine learning algorithms also form a pattern. A state-of-the-art image classification algorithm requiring zero human labels. The I-Con framework shows that algorithms differ mainly in how they define those relationships. It predicts new ones.

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Decoding student cognitive abilities: a comparative study of explainable AI algorithms in educational data mining

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This study employs data-driven artificial intelligence (AI) models supported by explainability algorithms and PSM causal inference to investigate the factors influencing students’ cognitive abilities, and it delved into the differences that arise when using various explainability AI algorithms to analyze educational data mining models.

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Machine Learning Algorithms Explained with Real-World Use Cases

How to Learn Machine Learning

For many fulfilling roles in data science and analytics, understanding the core machine learning algorithms can be a bit daunting with no examples to rely on. This blog will look at the most popular machine learning algorithms and present real-world use cases to illustrate their application. What Are Machine Learning Algorithms?