AaronPo/the-biergarten-app
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Replace stored-procedure repositories with Dapper-based repositories

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Removes the USP_* stored procedures for Auth, Location, and Brewery
data access in favour of services built with Dapper.

Adds a new Features.Locations slice and optimistic concurrency support
for the Brewery slice.
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Aaron Po
2026-08-17 20:50:44 -04:00
parent e8499181cb
commit cac6d7f193
81 changed files with 1656 additions and 1401 deletions
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16
docs/pipeline/ETHICS-AND-KNOWN-ISSUES.md
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@@ -136,8 +136,8 @@ consumers are informed of the AI-generated origin before engagement.
When forced by the system prompt to generate a "highly specialized technical
brewing detail," the model frequently hallucinates fermentation science and
brewing chemistry. While the resulting text sounds confident, it is
nonsensical to a reader with brewing or scientific expertise.
brewing chemistry. While the resulting text sounds confident, it is nonsensical
to a reader with brewing or scientific expertise.
Small-parameter models such as Gemma 4 E4B cannot reliably satisfy prompts
calling for specialist brewing detail. This is consistent with the **CHOKE**
@@ -262,8 +262,8 @@ idiomatic phrasing.
]
```
When fed into the pipeline, this dataset often causes the model to reason that
a local variant of French is needed, but it often defaults to a standardized
When fed into the pipeline, this dataset often causes the model to reason that a
local variant of French is needed, but it often defaults to a standardized
dialect of French, without cultural or linguistic nuance.
For languages such as Welsh (Wales), Māori (Aotearoa/New Zealand), or Sicilian
@@ -312,10 +312,10 @@ not a source of truth.
Simhi, Itay Itzhak, Fazl Barez, Gabriel Stanovsky, Yonatan Belinkov.
[^llm-bias]:
For example, Blasi et al. (2022), "Systematic Inequalities in Language Technology
Performance across the World's Languages," _ACL Anthology_. The pattern is
consistent with models trained predominantly on English-language web
corpora.
For example, Blasi et al. (2022), "Systematic Inequalities in Language
Technology Performance across the World's Languages," _ACL Anthology_. The
pattern is consistent with models trained predominantly on English-language
web corpora.
[^wp-license]:
Source: