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Using Friction As A Feature In Machine Learning Algorithms — Smashing Magazine

Friction often has a negative connotation in user experience design, but it actually has many benefits. Its best-known use case is mitigating unintended consequences in high-risk scenarios, yet it has a new place in the age of artificial intelligence. Adding strategic friction to interfaces can lead to profound efficiency gains in machine learning algorithms.
New York United States Maggie Appleton Jakob Nielsen Maximillian Piras Marc Andreessen

Understanding large language models: What are they and how do they work?

In recent years, large language models (LLMs) have revolutionized the field of natural language processing (NLP) and artificial intelligence (AI). These sophisticated models are used widely in AI solutions, such as OpenAIs ChatGPT, and have been designed to understand and generate human-like text, enabling them to perform various language-based tasks. People are incredibly excited by the potential of this technology which is poised to revolutionize how we live and work. However, to understand th...
Peshkova Shutterstock Customer Service Agents Large Language Bias Mitigation Specific Tasks Iterative Improvement

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