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Merge pull request #1257 from jasonrandrews/spelling
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jasonrandrews committed Sep 17, 2024
2 parents de08c1a + acea1a7 commit 0bed590
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61 changes: 60 additions & 1 deletion .wordlist.txt
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Expand Up @@ -3114,4 +3114,63 @@ ifunc
ifuncs
lm
memcpy
multiversioning
multiversioning
AwsServerlessDynamoDbLambdaS
BLASes
BVH
Bindless
Calvo
Chowdary
CloudFormation
GDC
GLSL
Helpbox
Lista
LttE
Malhotra
Mandepudi
Nikhil
OPLTK
Rasterization
Ravi
Refractions
Rohr
RunsOn
SSR
Streamlit
TLASes
TorchAO
Torchchat
Vulkan's
Vulkanised
WebsiteBucket
aaaa
barycentric
bindless
bonza
calvo
chatbot's
createResponse
denoising
getAverageTemperatureButton
getAverageTemperatureUrl
jJyHzkWXEfY
lista
param
prismjs
quicktool
rasterization
rasterized
refractions
renderer
skybox
specular
ssr
streamlit
stylesheet
torchchat
tps
uQ
vulkan
vulkanised
writeTemperaturesUrl
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Expand Up @@ -24,7 +24,7 @@ armips:
- Neoverse

tools_software_languages:
- Cloudformation
- CloudFormation
- GitHub
- AWS EC2

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Expand Up @@ -29,7 +29,7 @@ review:
- "Yes"
correct_answer: 2
explanation: >
RunsOn is free for non-commerical projects. You pay the cost of the EC2 instances that are used and a small free for the AWS AppRunner service.
RunsOn is free for non-commerical projects. You pay the cost of the EC2 instances that are used and a small free for the AWS App Runner service.
- questions:
question: >
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Expand Up @@ -19,7 +19,7 @@ Follow this three-step process to install RunsOn:

Once you have your key, proceed with the installation guide by selecting the AWS region you would like to use, creating the CloudFormation stack, and installing the GitHub app.

3. At the end, follow the link to the deployed AppRunner service endpoint, and you should see a page indicating that your installation is successful.
3. At the end, follow the link to the deployed App Runner service endpoint, and you should see a page indicating that your installation is successful.

At this point you can start using RunsOn to spawn runners for your GitHub Actions workflows.

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Expand Up @@ -28,7 +28,7 @@ configuration_dropdown_options:
- name: llama-3-8b-instruct
specs: The newest Llama model, with 8 billion parameters.
- name: llama-2-7b
specs: Llama2 has 7 billion paramters.
specs: Llama2 has 7 billion parameters.
selectable: true
explanation: The LLM selected affects how performant the model is and such.

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Expand Up @@ -32,7 +32,7 @@ It is common to find corner cases and bugs on Screen Space Reflection at the sam
{{< tab header="Example 1: RT" title="Example 1: Ray tracing reflections" img_src="/learning-paths/smartphones-and-mobile/ray_tracing/images/reflections_artifacts_1_rt.png">}}{{< /tab >}}
{{< tab header="Example 2: SSR" title="Example 2: Screen space reflections" img_src="/learning-paths/smartphones-and-mobile/ray_tracing/images/reflections_artifacts_2_ssr.png">}}{{< /tab >}}
{{< tab header="Example 2: RT" title="Example 2: Ray tracing reflections" img_src="/learning-paths/smartphones-and-mobile/ray_tracing/images/reflections_artifacts_2_rt.png">}}{{< /tab >}}
{{< tab header="Example 3: SSR" title="Example 3: Screen space teflections" img_src="/learning-paths/smartphones-and-mobile/ray_tracing/images/reflections_artifacts_3_ssr.png">}}{{< /tab >}}
{{< tab header="Example 3: SSR" title="Example 3: Screen space reflections" img_src="/learning-paths/smartphones-and-mobile/ray_tracing/images/reflections_artifacts_3_ssr.png">}}{{< /tab >}}
{{< tab header="Example 3: RT" title="Example 3: Ray tracing reflections" img_src="/learning-paths/smartphones-and-mobile/ray_tracing/images/reflections_artifacts_3_rt.png">}}{{< /tab >}}
{{< tab header="Example 4: SSR" title="Example 4: Screen space reflections" img_src="/learning-paths/smartphones-and-mobile/ray_tracing/images/reflections_artifacts_4_ssr.png">}}{{< /tab >}}
{{< tab header="Example 4: RT" title="Example 4: Ray tracing reflections" img_src="/learning-paths/smartphones-and-mobile/ray_tracing/images/reflections_artifacts_4_rt.png">}}{{< /tab >}}
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