Ailixir is an application that utilises LLMs and custom user input to generate AI agent prototypes specialised in fields such as health, economics, physics etc. The prototypes enable the user, which is an entrepreneur-developer, to compare the results produced by different LLMs.
Establish a foundational / base prompt or a basic prompt system to enhance the performance of the different LLMs to be integrated via LangChain. Create and test prompt templates to produce better responses.
User Story
as developer of this team
I want to implement some fundamental prompt engineering techniques
so that I can improve the quality and relevance of the responses generated by LLMs for the user.
Acceptance Criteria
[x] 3 or more iterations on prompt designs are made (informed by the previous iteration learnings and outcomes) in order to improve the response generation.
[ ] The prompt structures are designed, tested and documented with examples in the wiki.
[x] The improvement in the responses after the implementation of this fundamental promt engineering approach, can be demonstrated.
Definition of Done
[ ] The feature has been fully implemented.
[ ] The feature has been manually tested and works as expected without critical issues.
[ ] The feature branches have been merged into the main branch and closed.
Domain
data pipeline
Description
Establish a foundational / base prompt or a basic prompt system to enhance the performance of the different LLMs to be integrated via LangChain. Create and test prompt templates to produce better responses.
User Story
Acceptance Criteria
Definition of Done