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Version 1.84
15 May, 2024
Steps to follow during Knovvu ML v1.84 deployment
1- Import the sentence-embedding
and text-normalization
modules by selecting the "DEPLOY_DEPENDENCIES" checkbox in the Import AI Jenkins job.
2- Perform ML redeployment.
3- After testing, the previous tenant-based sentence-embedding and text-normalization pods can be deleted either through the ML's API endpoint or manually.
Please use the following stable AI modules for the v1.84 update!
- sentence-embedding (v13)
- text-normalization (v20)
- text-classification-mlp (v16)
- question-answering (v2)
- text-sentiment (v8)
- text-clustering (v18)
- text-language (v6)
Improvements
Commonization of Dependency Modules across Tenants:
"sentence-embedding" and "text-normalization" dependency modules, which were previously exclusive to each tenant, can now be shared among all tenants. This change aims to optimize resource utilization by preventing the duplication of these modules and reduce redundancy and overall resource consumption.New Version of text-clustering Service:
text-clustering service v18 has been tested and released.