Cross link random variable docs

doc/library/tensor/random/index.rst

@@ -30,6 +30,7 @@ sophisticated `Op`\s like `Scan`, which makes it a user-friendly random variable
 interface in PyTensor.
 
 For an example of how to use random numbers, see :ref:`Using Random Numbers <using_random_numbers>`.
+For a technical explanation of how PyTensor implements random variables see :ref:`prng`.
 
 
 .. class:: RandomStream()

doc/tutorial/examples.rst

@@ -357,6 +357,9 @@ hold here as well. PyTensor's random objects are defined and implemented in
 :ref:`RandomStream<libdoc_tensor_random_utils>` and, at a lower level,
 in :ref:`RandomVariable<libdoc_tensor_random_basic>`.
 
+For a more technical explanation of how PyTensor implements random variables see :ref:`prng`.
+
+
 Brief Example
 -------------
 

doc/tutorial/prng.rst

@@ -5,7 +5,9 @@ Pseudo random number generation in PyTensor
 ===========================================
 
 PyTensor has native support for `pseudo random number generation (PRNG) <https://en.wikipedia.org/wiki/Pseudorandom_number_generator>`_.
-This document describes how PRNGs are implemented in PyTensor, via the RandomVariable Operator.
+
+This document describes the details of how PRNGs are implemented in PyTensor, via the RandomVariable Operator.
+For a more applied example see :ref:`using_random_numbers`
 
 We also discuss how initial seeding and seeding updates are implemented, and some harder cases such as using RandomVariables inside Scan, or with other backends like JAX.