user: What is Sarisariñama?

assistant: <think>
Cerro Sarisariñama is a tepui, a flat-topped mountain in Jaua-Sarisariñama National Park at the far south-west of Bolívar State, Venezuela, near the border with Brazil. Its altitude range is between 300 m (980 ft) and 2,350 m (7,710 ft). The name of the mountain originates from the tale of local Ye'kuana Indians about an evil spirit living in caves up in the mountain and devouring human flesh with a sound "Sari... sari...".</think>
Cerro Sarisariñama is a tepui, a flat-topped mountain in Jaua-Sarisariñama National Park at the far south-west of Bolívar State, Venezuela, near the border with Brazil. Its altitude range is between 300 m (980 ft) and 2,350 m (7,710 ft). The name of the mountain originates from the tale of local Ye'kuana Indians about an evil spirit living in caves up in the mountain and devouring human flesh with a sound "Sari... sari...".

The tepui is in one of the most remote areas in the country, with the closest road being 35 miles to the northeast.[citation needed]

user: What is SVM?

assistant: <think>
In machine learning, support vector machines (SVMs, also support vector networks) are supervised learning models with associated learning algorithms that analyze data for classification and regression analysis. Developed at AT&T Bell Laboratories by Vladimir Vapnik with colleagues (Boser et al., 1992, Guyon et al., 1993, Cortes and Vapnik, 1995, Vapnik et al., 1997[citation needed]) SVMs are one of the most robust prediction methods, being based on statistical learning frameworks or VC theory proposed by Vapnik (1982, 1995) and Chervonenkis (1974). Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that assigns new examples to one category or the other, making it a non-probabilistic binary linear classifier (although methods such as Platt scaling exist to use SVM in a probabilistic classification setting). SVM maps training examples to points in space so as to maximise the width of the gap between the two categories. New examples are then mapped into that same space and predicted to belong to a category based on which side of the gap they fall.

In addition to performing linear classification, SVMs can efficiently perform a non-linear classification using what is called the kernel trick, implicitly mapping their inputs into high-dimensional feature spaces.

The support vector clustering algorithm, created by Hava Siegelmann and Vladimir Vapnik, applies the statistics of support vectors, developed in the support vector machines algorithm, to categorize unlabeled data.[citation needed] These data sets require unsupervised learning approaches, which attempt to find natural clustering of the data to groups and, then, to map new data according to these clusters.</think>
SVM stands for ""support vector machine". It is a machine learning model for supervised learning tasks. It was popular in the 1990s and early 2000s, before deep learning take off. The classic use case is binary classification, but its extension can also do multi-label classification as we as regression. Kernel methods greatly enhanced SVM's capability to perform non-linear machine learning tasks.

user: Extract all the dates from this paragraph provided.

assistant: <think>
The New Joint Endeavor for Welfare, Education, and Liberation, or New JEWEL Movement (NJM), was a Marxist–Leninist vanguard party in the Caribbean island nation of Grenada that was led by Maurice Bishop.

Established in 1973, the NJM issued its manifesto prior to the granting of independence to Grenada in 1974. The movement took control of the country with a successful bloodless revolution in 1979 and ruled by decree as the People's Revolutionary Government until 1983. In 1983, Bishop was killed by paramilitaries affiliated with hard-liners in his own party. This led to a military government, which was deposed by the US military in a 1983 invasion.</think>
1973, 1974, 1979, 1983