The Self-Learning Agent with a Progressive Neural Network Integrated Transformer
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866916672852459520 |
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| author | Sivakumar, Ajay Shalini Raj, Vasantha Sylvester, Sebastian |
| author_facet | Sivakumar, Ajay Shalini Raj, Vasantha Sylvester, Sebastian |
| contents | This paper introduces a self-learning agent that integrates LLaMA 3.2 with a Progressive Neural Network (PNN) for continual learning in conversational AI and code generation. The framework dynamically collects data, fine-tunes tasks with minimal samples, and leverages Meta-Learning for rapid adaptation. LoRA optimizes fine-tuning, while Elastic Weight Consolidation (EWC) enhances knowledge retention. Experimental results demonstrate improved adaptability and memory stability, positioning this approach as a scalable step toward Artificial General Intelligence (AGI). |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_02489 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | The Self-Learning Agent with a Progressive Neural Network Integrated Transformer Sivakumar, Ajay Shalini Raj, Vasantha Sylvester, Sebastian Artificial Intelligence This paper introduces a self-learning agent that integrates LLaMA 3.2 with a Progressive Neural Network (PNN) for continual learning in conversational AI and code generation. The framework dynamically collects data, fine-tunes tasks with minimal samples, and leverages Meta-Learning for rapid adaptation. LoRA optimizes fine-tuning, while Elastic Weight Consolidation (EWC) enhances knowledge retention. Experimental results demonstrate improved adaptability and memory stability, positioning this approach as a scalable step toward Artificial General Intelligence (AGI). |
| title | The Self-Learning Agent with a Progressive Neural Network Integrated Transformer |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2504.02489 |