From fe976e9f19452609d301add72d1546dd7efdd400 Mon Sep 17 00:00:00 2001 From: Adam DeHovitz Date: Mon, 5 Jan 2026 19:26:24 -0500 Subject: [PATCH 1/2] chore: update domain references from normalcomputing.ai to normalcomputing.com --- docs/getting_started.md | 2 +- pyproject.toml | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/getting_started.md b/docs/getting_started.md index 9440252..f18607c 100644 --- a/docs/getting_started.md +++ b/docs/getting_started.md @@ -12,7 +12,7 @@ multiple plausible model configurations rather than relying on a single point es Thus providing a coherent framework for detecting [**out of distribution**](https://github.com/normal-computing/posteriors/tree/main/examples/yelp) inputs and [**continual learning**](https://github.com/normal-computing/posteriors/tree/main/examples/continual_lora). -For more info on the utility of UQ, check out our [blog post introducing `posteriors`](https://blog.normalcomputing.ai/)! +For more info on the utility of UQ, check out our [blog post introducing `posteriors`](https://blog.normalcomputing.com/)! ## Quick Start diff --git a/pyproject.toml b/pyproject.toml index a852dac..f8499ca 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -6,7 +6,7 @@ readme = "README.md" requires-python =">=3.9" license = {text = "Apache-2.0"} authors = [ - {name = "Sam Duffield", email = "sam@normalcomputing.ai"}, + {name = "Sam Duffield", email = "sam@normalcomputing.com"}, ] keywords = ["pytorch", "uncertainty"] classifiers = [ From 6ffaa002f06a21214aec866aad0423d48805a2d0 Mon Sep 17 00:00:00 2001 From: Adam DeHovitz Date: Mon, 5 Jan 2026 19:28:18 -0500 Subject: [PATCH 2/2] Use correct blog url --- docs/getting_started.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/getting_started.md b/docs/getting_started.md index f18607c..6057a59 100644 --- a/docs/getting_started.md +++ b/docs/getting_started.md @@ -12,7 +12,7 @@ multiple plausible model configurations rather than relying on a single point es Thus providing a coherent framework for detecting [**out of distribution**](https://github.com/normal-computing/posteriors/tree/main/examples/yelp) inputs and [**continual learning**](https://github.com/normal-computing/posteriors/tree/main/examples/continual_lora). -For more info on the utility of UQ, check out our [blog post introducing `posteriors`](https://blog.normalcomputing.com/)! +For more info on the utility of UQ, check out our [blog post introducing `posteriors`]([https://blog.normalcomputing.com/](https://www.normalcomputing.com/blog/posteriors-normal-computings-library-for-uncertainty-aware-llms-3))! ## Quick Start