We have hosted the application finetuner in order to run this application in our online workstations with Wine or directly.


Quick description about finetuner:

Fine-tuning is an effective way to improve performance on neural search tasks. However, setting up and performing fine-tuning can be very time-consuming and resource-intensive. Jina AI�s Finetuner makes fine-tuning easier and faster by streamlining the workflow and handling all the complexity and infrastructure in the cloud. With Finetuner, you can easily enhance the performance of pre-trained models, making them production-ready without extensive labeling or expensive hardware. Create high-quality embeddings for semantic search, visual similarity search, cross-modal text image search, recommendation systems, clustering, duplication detection, anomaly detection, or other uses. Bring considerable improvements to model performance, making the most out of as little as a few hundred training samples, and finish fine-tuning in as little as an hour.

Features:
  • Better embeddings
  • Low budget, high expectations
  • Performance promise
  • Simple yet powerful
  • All-in-cloud
  • Create high-quality embeddings for semantic search


Programming Language: Python.
Categories:
Neural Search

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