update Yee's advice

Signed-off-by: Future-Outlier <[email protected]>

rfc/system/5741-binary-idl-with-message-pack.md

@@ -420,10 +420,18 @@ Note: We will use mashumaro's `MessagePackEncoder` and `MessagePackDecoder` to s
 from mashumaro.codecs.msgpack import MessagePackDecoder, MessagePackEncoder
 ```
 
+#### Literal Type's TypeStructure's dataclass_type
+This is used for compiling dataclass attribute access. 
+
+With it, we can retrieve the literal type of an attribute and validate it in Flyte's propeller compiler.
+
+For more details, check here: https://github.com/flyteorg/flytekit/blob/fb55841f8660b2a31e99381dd06e42f8cd22758e/flytekit/core/type_engine.py#L454-L525
+
 #### JSON Schema
 The JSON Schema of `dataclass` will be generated by `marshmallow` or `mashumaro`.
 Check here: https://github.com/flyteorg/flytekit/blob/8c6f6f0f17d113447e1b10b03e25a34bad79685c/flytekit/core/type_engine.py#L442-L474
 
+
 ### Pydantic Transformer
 #### Literal Value
 Pydantic can't be serialized to `msgpack bytes` directly.
@@ -455,6 +463,13 @@ my_dc = MyDCModel(dc=DC(a=1, b=2.0, c="3", d={"4": 5}, e=DC_inside(a=6, b=7.0)))
 # {'dc': {'a': 1, 'b': 2.0, 'c': '3', 'd': {'4': 5}, 'e': {'a': 6, 'b': 7.0}}}
 ```
 
+#### Literal Type's TypeStructure's dataclass_type
+This is used for compiling Pydantic BaseModel attribute access. 
+
+With it, we can retrieve an attribute's literal type and validate it in Flyte's propeller compiler.
+
+Although this feature is not currently implemented, it will function similarly to the dataclass transformer in the future.
+
 #### JSON Schema
 The JSON Schema of `BaseModel` will be generated by Pydantic's API.
 ```python