Fix typo and broken link in TypeAdapter description in "Why" docs (#8703

)

docs/why.md

@@ -272,7 +272,7 @@ Pydantic provides four ways to create schemas and perform validation and seriali
 
 1. [`BaseModel`](concepts/models.md) — Pydantic's own super class with many common utilities available via instance methods.
 2. [`pydantic.dataclasses.dataclass`](concepts/dataclasses.md) — a wrapper around standard dataclasses which performs validation when a dataclass is initialized.
-3. [`TypeAdapter`][pydantic.type_adapter.TypeAdapter] — a general way to adapt any type for validation and serialization. This allows types like [`TypedDict`](api/standard_library_types.md#typeddict) and [`NampedTuple`](api/standard_library_types.md#namedtuple) to be validated as well as simple scalar values like `int` or `timedelta` — [all types](concepts/types.md) supported can be used with `TypeAdapter`.
+3. [`TypeAdapter`][pydantic.type_adapter.TypeAdapter] — a general way to adapt any type for validation and serialization. This allows types like [`TypedDict`](api/standard_library_types.md#typeddict) and [`NamedTuple`](api/standard_library_types.md#typingnamedtuple) to be validated as well as simple scalar values like `int` or `timedelta` — [all types](concepts/types.md) supported can be used with `TypeAdapter`.
 4. [`validate_call`](concepts/validation_decorator.md) — a decorator to perform validation when calling a function.
 
 ??? example "Example - schema based on TypedDict"