Introduction to Multi-task Prompt Tuning
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![Introduction to Multi-task Prompt Tuning](https://heidloff.net/assets/img/2023/03/mtprompt-tuning1.jpeg)
![Prompting: Better Ways of Using Language Models for NLP Tasks](https://thegradient.pub/content/images/2021/07/Screenshot-from-2021-07-01-22-26-56.png)
Prompting: Better Ways of Using Language Models for NLP Tasks
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2110.07602] P-Tuning v2: Prompt Tuning Can Be Comparable to Fine
![Multitask Prompted Training Enables Zero-Shot Task Generalization](https://i.ytimg.com/vi/nJAzZShUuZM/sddefault.jpg)
Multitask Prompted Training Enables Zero-Shot Task Generalization
![Multitask Prompted Training Enables Zero-Shot Task Generalization](https://i.ytimg.com/vi/0cHvZ60Y6FE/maxresdefault.jpg?sqp=-oaymwEmCIAKENAF8quKqQMa8AEB-AG-B4AC0AWKAgwIABABGGUgZShlMA8=&rs=AOn4CLCi9z0X_VdOCb8bPGrvixELfL5BIw)
Multitask Prompted Training Enables Zero-Shot Task Generalization
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Multi-Task Learning in ML: Optimization & Use Cases [Overview]
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Scaling Instruction-Finetuned Language Models
![Guiding Large Language Models towards task-specific inference](https://miro.medium.com/v2/resize:fit:1400/1*-GnuuXgE9R4eroRcK0hXRw.png)
Guiding Large Language Models towards task-specific inference
![Applied Sciences, Free Full-Text](https://www.mdpi.com/applsci/applsci-13-06252/article_deploy/html/images/applsci-13-06252-g001.png)
Applied Sciences, Free Full-Text
![Full Fine-Tuning, PEFT, Prompt Engineering, or RAG?](https://deci.ai/wp-content/uploads/2023/09/1-3-1024x576.png)
Full Fine-Tuning, PEFT, Prompt Engineering, or RAG?
![PDF] Attentional Mixtures of Soft Prompt Tuning for Parameter](https://d3i71xaburhd42.cloudfront.net/96df989cba0e6cd88b994c4459349fd80b7cf213/3-Figure2-1.png)
PDF] Attentional Mixtures of Soft Prompt Tuning for Parameter
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