## Change Summary

Fix a few issues needing docs updates:
* #7774 - adding more examples to docs for using `Generic` with `BaseModel`
* #7772 - clarifying the nature of `model_json_schema()` return value as a jsonable `dict`
* #7757 - adding example to docs re use of `use_enum_values` and `validate_default=True` on a field
* #7805 - documenting the fact that `from_attributes` is not supported when using `TypeAdapter` with a Pydantic dataclass

## Related issue number

Fix #7774
Fix #7772
#7757 was already closed, but following up with a docs update
Fix #7805

## Checklist

* [x] The pull request title is a good summary of the changes - it will be used in the changelog
* [ ] Unit tests for the changes exist
* [ ] Tests pass on CI
* [x] Documentation reflects the changes where applicable
* [x] My PR is ready to review, **please add a comment including the phrase "please review" to assign reviewers**


Selected Reviewer: @samuelcolvin
Minor docs updates based on issues with docs flags. ## Change Summary

Fix a few issues needing docs updates:
* #7774 - adding more examples to docs for using `Generic` with `BaseModel`
* #7772 - clarifying the nature of `model_json_schema()` return value as a jsonable `dict`
* #7757 - adding example to docs re use of `use_enum_values` and `validate_default=True` on a field
* #7805 - documenting the fact that `from_attributes` is not supported when using `TypeAdapter` with a Pydantic dataclass

## Related issue number

Fix #7774
Fix #7772
#7757 was already closed, but following up with a docs update
Fix #7805

## Checklist

* [x] The pull request title is a good summary of the changes - it will be used in the changelog
* [ ] Unit tests for the changes exist
* [ ] Tests pass on CI
* [x] Documentation reflects the changes where applicable
* [x] My PR is ready to review, **please add a comment including the phrase "please review" to assign reviewers**


Selected Reviewer: @samuelcolvin
The following table provides details on how Pydantic converts data during validation in both strict and lax modes.

The "Strict" column contains checkmarks for type conversions that are allowed when validating in
[Strict Mode](strict_mode.md).

=== "All"
{{ conversion_table_all }}

=== "JSON"
{{ conversion_table_json }}

=== "JSON - Strict"
{{ conversion_table_json_strict }}

=== "Python"
{{ conversion_table_python }}

=== "Python - Strict"
{{ conversion_table_python_strict }}

The following table provides details on how Pydantic converts data during validation in both strict and lax modes.

The "Strict" column contains checkmarks for type conversions that are allowed when validating in
[Strict Mode](strict_mode.md).

=== "All"
{{ conversion_table_all }}

=== "JSON"
{{ conversion_table_json }}

=== "JSON - Strict"
{{ conversion_table_json_strict }}

=== "Python"
{{ conversion_table_python }}

=== "Python - Strict"
{{ conversion_table_python_strict }}
