Description
Description
I have performed some train iteration and found that still when running 'crewai run' trained data not being considered. Doesn't matter which LLM model is being used the result is not being changed according to trained data.
Used commands:
To train crewai train -n 2 -f lorem-train.pkl
To run `crewai run``
Steps to Reproduce
How to reproduce ?
- in new very new project. (using any llm provider. I tested with llama and gemini)
- in reporting_task under add "A well-organized written report." as expected_output
Now start at least 2 iterations of training and for reporting task give feedback to not include 'conclusion' section and to use numbering for all sections.
After training start now normal run with 'crewai run' on same default topic. You will find that now report is being generated as trained during training. (I just provided simple example here, you could play around on feedback).
After trying many attempts found that result is not being changed.
Expected behavior
According to provided reproduce steps:
The generated report should contain numbering and should not include 'conclusion' section
Screenshots/Code snippets
NA
Operating System
Other (specify in additional context)
Python Version
3.12
crewAI Version
0.117.1
crewAI Tools Version
0.117.1,<1.0.0
Virtual Environment
Venv
Evidence
NA
Possible Solution
NA
Additional context

