Cluster analysis or clustering is a statistical classification technique or activity that involves grouping a set of objects or data in such a way that those contained in the same group (cluster) will be similar to each other but different from those in the other group. It is required for data mining and exploration, and is commonly used in the bioinformatics industry and other sectors within the scope of machine learning, pattern recognition, image analysis, and analyzing large datasets.
Reinforcement Learning from Human Feedback (RLHF) aims to achieve more refined and accurate results by incorporating human feedback into this process. In this article, we will explore how RLHF works, why it is important, and its different use cases.
Data visualization makes it possible to quickly obtain information by visualizing data regardless of format, type or source. It also allows the presentation of information that is not visible at first glance about what the data means in a clear and clear way.
IVR is a telephone technology that interacts with callers through pre-recorded voice messages, also known as Voice Response System.
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