From 636a44a1aa692755e4cf283d8ccab661fd67ae28 Mon Sep 17 00:00:00 2001 From: JonahSussman Date: Mon, 5 Aug 2024 22:32:10 -0400 Subject: [PATCH] Fixed more typos Signed-off-by: JonahSussman --- README.md | 2 +- docs/contrib/Tracing.md | 2 +- docs/design/solvedIncidentStore.md | 2 +- docs/scenarios/demo.md | 6 +++--- 4 files changed, 6 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index 8e73984..066dbea 100644 --- a/README.md +++ b/README.md @@ -33,7 +33,7 @@ The approach begins with using static code analysis via the [Kantra](https://git ### Launch the Kai backend with sample data -The quickest way to get running is to leverage sample data commited into the Kai repo along with the `podman compose up` workflow +The quickest way to get running is to leverage sample data committed into the Kai repo along with the `podman compose up` workflow 1. `git clone https://github.com/konveyor/kai.git` 1. `cd kai` diff --git a/docs/contrib/Tracing.md b/docs/contrib/Tracing.md index 13ee3d4..d202770 100644 --- a/docs/contrib/Tracing.md +++ b/docs/contrib/Tracing.md @@ -40,7 +40,7 @@ Example of hierarchy: │   │   ├── prompt << The formatted prompt prior to sending to LLM >> │   │   └── prompt_vars.json << The prompt variables which are injected into the prompt template >> │   ├── params.json << Request parameters >> - │   └── timing << Duration of a Succesful Request >> + │   └── timing << Duration of a Successful Request >> └── src └── main ├── java diff --git a/docs/design/solvedIncidentStore.md b/docs/design/solvedIncidentStore.md index 8c6ad63..72e759f 100644 --- a/docs/design/solvedIncidentStore.md +++ b/docs/design/solvedIncidentStore.md @@ -38,7 +38,7 @@ In the longer term, additional layers of processing will be implemented to ensur ### Long-term Data Storage -Analysis reports are stored permantently. Solutions are stored in a separate portion of the database for use with Retrieval-Augmented Generation (RAG) prompts. Solutions are considered recomputable from the original reports. Permanent storage of analysis reports allows for: +Analysis reports are stored permanently. Solutions are stored in a separate portion of the database for use with Retrieval-Augmented Generation (RAG) prompts. Solutions are considered recomputable from the original reports. Permanent storage of analysis reports allows for: - Future data extraction, if additional data is identified for extraction. - Using the data for fine-tuning models, providing flexibility for ongoing improvements. diff --git a/docs/scenarios/demo.md b/docs/scenarios/demo.md index d1ca0d4..37e263f 100644 --- a/docs/scenarios/demo.md +++ b/docs/scenarios/demo.md @@ -23,7 +23,7 @@ In this step, we will configure the Kai IDE plugin within VSCode to showcase the ### Setup Kai VSCode IDE plugin -- Follow along the steps listed in [here](https://github.com/konveyor-ecosystem/kai/tree/main/ide) to intergrate Kai IDE plugin with VSCode. +- Follow along the steps listed in [here](https://github.com/konveyor-ecosystem/kai/tree/main/ide) to integrate Kai IDE plugin with VSCode. - Before starting the Kai server, Select model `meta-llama/llama-3-70b-instruct` by uncommenting the following block in `kai/config.toml` file @@ -101,7 +101,7 @@ Let's clone the Coolstore application, which we will be used demo the migration We will analyze the Coolstore application using the following migration targets to identify potential areas for improvement: -- containterization +- containerization - jakarta-ee - jakarta-ee8+ - jakarata-ee9+ @@ -222,4 +222,4 @@ mvn clean compile package -Dquarkus.kubernetes.deploy=true ### Conclusion -In this demo, we showcased the capability of Kai in facilitating various types of code migrations within the Coolstore application. By leveraging Kai's capabilities, organizations can expedite the modernization process. If you are intereted to learn more about our ongoing efforts and future plans, please reach out to us in the [slack channel](https://kubernetes.slack.com/archives/CR85S82A2) +In this demo, we showcased the capability of Kai in facilitating various types of code migrations within the Coolstore application. By leveraging Kai's capabilities, organizations can expedite the modernization process. If you are interested to learn more about our ongoing efforts and future plans, please reach out to us in the [slack channel](https://kubernetes.slack.com/archives/CR85S82A2) -- 2.45.1