Llama2 self-improvement using memory-of-thought
Memory-of-Thought (MoT) is a newly proposed mechanism for LLMs to self-improve without annotated datasets and expensive resource consumption for fine-tuning models. This project evaluates the effectiveness of MoT on a pre-trained Large Language Model Llama2 and compares the performance of improved L...
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| Format: | Thesis-Master by Coursework |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/179097 |
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| Institution: | Nanyang Technological University |
| Language: | English |