This article provides an overview of recent methods to fine-tune large pre-trained language models.
Refine Multi-modal LLaVA Vision and Language Models for enhanced performance and user experience. - Mistral 7B
LLM Can Catch Your Lies
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Nested Named-Entity Recognition in Multilingual Code-Switched NLP
Unlocking the True Potential of Large Language Models (LLMs) Through Advanced Fine-Tuning
Research results show that large-scale language models such as GPT and Llama can be easily jailbroken with fine tuning - GIGAZINE
transfer learning
Large Language Models are Efficient Learners of Noise-Robust Speech Recognition
Generating Training Data for Fine-Tuning Large Language Mode
Mastering Large Language Models: A 7-Step Learning Journey, by Youssef Hosni
Domain-specific language models pre-trained on construction management systems corpora - ScienceDirect
Exploration and Evaluation of Prompting Methods for Text Style
Recent Advances in Natural Language Processing
Recent Advances in Natural Language Processing
LLM Can Catch Your Lies
