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Whether you are looking for an LLM with more safety guardrails or one completely without them, someone has probably built it.

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This is an open collection of methodologies, tools and step by step instructions to help with successful training and fine-tuning of large language models and multi-modal models and their inference.

Abstract: Deep neural networks (DNNs) struggle to learn in dy-namic settings because they mainly rely on static datasets. Continual learning (CL) aims to overcome this limitation by enabling DNNs to ...