https://github.com/semaj87/summarise-dialogue-flan-t5
Performing the task of dialogue summarisation using Generative AI, whilst comparing the effects of zero shot, one shot and few shot prompt engineering. These steps are used to enhance the completion of Large Language Models (LLMs))
https://github.com/semaj87/summarise-dialogue-flan-t5
dialogue-sum flan-t5 generative-ai huggingface huggingface-datasets huggingface-transformer machine-learning prompt-engineering
Last synced: 28 days ago
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Performing the task of dialogue summarisation using Generative AI, whilst comparing the effects of zero shot, one shot and few shot prompt engineering. These steps are used to enhance the completion of Large Language Models (LLMs))
- Host: GitHub
- URL: https://github.com/semaj87/summarise-dialogue-flan-t5
- Owner: semaj87
- License: mit
- Created: 2023-11-14T17:16:28.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-11-27T12:10:09.000Z (over 1 year ago)
- Last Synced: 2025-01-30T10:43:45.756Z (3 months ago)
- Topics: dialogue-sum, flan-t5, generative-ai, huggingface, huggingface-datasets, huggingface-transformer, machine-learning, prompt-engineering
- Language: Jupyter Notebook
- Homepage:
- Size: 278 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0