Update README.md

Author: AntonOresten

README.md

@@ -23,7 +23,7 @@ const Float8_4 = Microfloat(1, 4, 3)
 const Float8_5 = Microfloat(1, 5, 2)
 ```
 
-### Microscaling (MX) Element Types
+### Microscaling (MX)
 
 Microfloats implements the E4M3, E5M2, E2M3, E3M2, E2M1, and E8M0 types from the [Open Compute Project Microscaling Formats (MX) Specification](https://www.opencompute.org/documents/ocp-microscaling-formats-mx-v1-0-spec-final-pdf), with most of these using saturated arithmetic (no infinities), and different bit layouts for NaNs. These are exported as `MX_E4M3`, `MX_E5M2`, `MX_E2M3`, `MX_E3M2`, `MX_E2M1`, and `MX_E8M0`, respectively.
 
@@ -32,6 +32,8 @@ For INT8, see `FixedPointNumbers.Q1f6`.
 > [!WARNING]
 > MX types may not yet be fully OCP compliant. See issues with the [![MX-compliance](https://img.shields.io/github/labels/MurrellGroup/Microfloats.jl/mx-compliance)](https://github.com/MurrellGroup/Microfloats.jl/labels/mx-compliance) label.
 
+Since Microfloats.jl only implements the primitive types, microscaling itself may be done with [Microscaling.jl](https://github.com/MurrellGroup/Microscaling.jl), which includes quantization and bitpacking.
+
 ## Installation
 
 ```julia
@@ -42,7 +44,8 @@ Pkg.add("Microfloats")
 
 ## See also
 
+- [Microscaling.jl](https://github.com/MurrellGroup/Microscaling.jl)
+- [FixedPointNumbers.jl](https://github.com/JuliaMath/FixedPointNumbers.jl)
 - [MicroFloatingPoints.jl](https://github.com/goualard-f/MicroFloatingPoints.jl)
 - [DLFP8Types.jl](https://github.com/chengchingwen/DLFP8Types.jl)
 - [Float8s.jl](https://github.com/JuliaMath/Float8s.jl)
-- [FixedPointNumbers.jl](https://github.com/JuliaMath/FixedPointNumbers.jl)