From my notes:
Consider the following system of first order ODEs for $n$ unknown functions $y_1(t),y_2(t),...,y_n(t)$
\begin{cases} \dot{y_1}=f_1(t,y_1,...,y_n) \\ \dot{y_2}=f_2(t,y_1,...,y_n) \end{cases}
We can write this in vector notation:
$\dot{\underline{y}}=\underline{f}(t,\underline{y})$ where $\underline{y}=\begin{pmatrix}y_1\\y_2\end{pmatrix}$ and $\underline{f}=\begin{pmatrix}f_1(t,y_1,y_2)\\f_2(t,y_1,y_2)\end{pmatrix}$
Now, I can see how $\dot{\underline{y}}=\begin{pmatrix}\dot{y_1}\\\dot{y_2}\end{pmatrix}$
Please explain how $\underline{f}(t,\underline{y})=\begin{cases} f_1(t,y_1,...,y_n)\\f_2(t,y_1,...,y_n) \end{cases}$
You "can think of" $f_i(t,y_1,y_2)$ as $f_i(t,y)$, where $y=(y_1,y_2)^T$ with $T$ denoting transposition. This means that you should really use the function $F_i\colon\mathbb R\times \mathbb R^2\to\mathbb R$ defined by $$ F_i(t,y)=f_i(t,y_1,y_2), $$ so that all is completely rigorous (but we never do that, too much complication).
The system $$ \begin{cases} \dot{y_1}=f_1(t,y_1,...,y_n), \\ \dot{y_2}=f_2(t,y_1,...,y_n) \end{cases} $$ is equivalent to $$ \dot y=F(t,y),\quad \text{where} \ F(t,y)=\begin{pmatrix}F_1(t,y)\\F_2(t,y)\end{pmatrix}. $$ Almost the same as in your notes, but not quite.