Prompt Engineering and Parameter Efficient Fine Tuning for an Instruction Model
Prompting to transform a T5 Model into a summarization task model finetuned using LoRa
Prompting to transform a T5 Model into a summarization task model finetuned using LoRa
Techniques to improve retrieval
RAG with LangChain and GPT
Roboflow automated labeling and YOLOv9 for the object detection task
Combining GroundingDINO with pretrained Dinov2 to automate an end to end project which is able to process video and do object detection with custom labels
Prompting Techniques
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1).
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Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2).
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Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3).
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Published in GitHub Journal of Bugs, 2024
This paper is about fixing template issue #693.
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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