https://github.com/sachs7/learn-llmops

Practice projects from Udacity's LLMOps course.
https://github.com/sachs7/learn-llmops

clickbait-classification clickbait-detection comet-llm finetuning gradio huggingface-transformers llmops udacity

Last synced: about 1 month ago
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Practice projects from Udacity's LLMOps course.

• Host: GitHub
• URL: https://github.com/sachs7/learn-llmops
• Owner: sachs7
• License: mit
• Created: 2024-01-29T19:53:36.000Z (12 months ago)
• Default Branch: main
• Last Pushed: 2024-02-02T17:41:05.000Z (11 months ago)
• Last Synced: 2024-02-02T18:26:56.320Z (11 months ago)
• Topics: clickbait-classification, clickbait-detection, comet-llm, finetuning, gradio, huggingface-transformers, llmops, udacity
• Language: Jupyter Notebook
• Homepage:
• Size: 1.71 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Learn-LLMOps

Practice projects from Udacity's LLMOps course.

The final project (Part_5) is about fine-tuning the existing model specific to the Clickbait dataset. As an additional effort, the Gradio app has been developed and deployed as a [Huggingface Space](https://huggingface.co/spaces/OsnNos/clickbait-detector). Feel free to play around!

The app looks like this:

Clickbait:

![image](https://github.com/sachs7/Learn-LLMOps/assets/3032301/32e61848-ca1c-4928-aad9-ec401335d5a2)

Non-Clickbait:

![2_non-clickbait_example](https://github.com/sachs7/Learn-LLMOps/assets/3032301/a750e1fc-c14a-4c94-9117-07d88d8543e5)