That is a special result, for algebra modulo 2, binary. That is what $\mathbb{F}^2$ means.
For any of the following sets of random matrices:
$$
A \in \mathbb{R}^n \times \mathbb{R}^n,\{a_{ij} \sim N(0,1)\}\\
A \in \mathbb{R}^n \times \mathbb{R}^n,\{a_{ij} \sim U[0,1]\}\\
$$
Through any of the following standard commands, respectively:
rank(randn(32,32))
rank(rand(32,32))
The matrix has full rank almost surely, being the probability of having a full rank matrix equal to 1, as the standard interpretation of probability under infinite sets, there are possible values, but under a measure not comparable with the whole set measure.
By other side, the following set of random matrices:
$$
A \in \mathbb{R}^n \times \mathbb{R}^n,\{a_{ij} \sim U[0,1]\}\\
$$
Realizable throught the command:
rank(randi([0,1],32,32))
The probability of having a full rank matrix is at least $1-(3/4+\sigma(1))^n$.
https://arxiv.org/abs/math/0501313
Probability that a random binary matrix is invertible?
If I generate a random matrix what is the probability of it to be singular?
https://mathoverflow.net/questions/12657/proving-almost-all-matrices-over-c-are-diagonalizable
https://en.wikipedia.org/wiki/Almost_surely