This source of truth should be immutable (basically) and stored as a JSON file in our backend github repo.
2. Cross Affinity and Complexity
We need to have some related value between Javascript -> Javascript Async and Javascript Async -> Javascript and LLMs -> Javscript Async. Each possible relationship will have an { Affinity } (how closely related are the topics) and a { Complexity } (how much more complex is the topic). 2*(N^2) relationships will be stored, each topic mapping to all N other topics.
We want these relationships (ex. backend = [backend, ML, javascript, javascript async, llms]) stored as an array following the indexes above. Please generate these values using GPT4. Be careful with prompting, we can very likely get great outputs! Some other values to store:
topic object {
name
index
complexityRelations
affinityRelations
top10Affinities
}
Start with topics found in #133. Please fill out more as more are added, this does not need to be automated. However, as we add more relationships, our query should have previous context values as well.
Topics and Cross Affinities
Requirements
1. Topics
We need a source of truth for our topics. As in. We have a list of topics, each topic gets a specific index number.
Backend: 1 ML: 2 Javascript: 3 Javascript Async: 4 LLMs: 5 etc.
This source of truth should be immutable (basically) and stored as a JSON file in our backend github repo.
2. Cross Affinity and Complexity
We need to have some related value between Javascript -> Javascript Async and Javascript Async -> Javascript and LLMs -> Javscript Async. Each possible relationship will have an { Affinity } (how closely related are the topics) and a { Complexity } (how much more complex is the topic). 2*(N^2) relationships will be stored, each topic mapping to all N other topics.
We want these relationships (ex. backend = [backend, ML, javascript, javascript async, llms]) stored as an array following the indexes above. Please generate these values using GPT4. Be careful with prompting, we can very likely get great outputs! Some other values to store:
topic object { name index complexityRelations affinityRelations top10Affinities }
Start with topics found in #133. Please fill out more as more are added, this does not need to be automated. However, as we add more relationships, our query should have previous context values as well.