You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Objective: better experience for developers leveraging opensource models
Many of the examples leverage (Azure) OpenAI, but seem to have not been tested with other model providers.
Planners are one such example. I would expect functions to be executed, results parsed and leveraged in further reasoning.
Even a simple example of retrieving current date + time is not working/executing.
I believe the main thing is that we should expose more control through the generation config.
We probably want to be able to set/overwrite the default execution_settings for an ai-service.
For the planner, we should be able to control the stopping criteria and how the results of the ai-service are returned (i.e. prompt + generated context or just generated content)
The text was updated successfully, but these errors were encountered:
github-actionsbot
changed the title
Semantic Kernel Planners not working with Huggingface AI Service
Python: Semantic Kernel Planners not working with Huggingface AI Service
May 1, 2024
Objective: better experience for developers leveraging opensource models
Many of the examples leverage (Azure) OpenAI, but seem to have not been tested with other model providers.
Planners are one such example. I would expect functions to be executed, results parsed and leveraged in further reasoning.
Even a simple example of retrieving current date + time is not working/executing.
I have created an example here: huggingface-with-planners
Additional note:
The text was updated successfully, but these errors were encountered: