Tag: Fine-tuning
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Fine-tuning
Fine-tuning is a crucial process in machine learning where a pre-trained model is further trained on a specific dataset to optimize its performance for a particular task. This technique leverages the knowledge learned from the initial training and adapts it to the nuances of the target dataset, leading to improved accuracy and efficiency. The Fine-Tuning…
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Instruction-Tuned LLMs:
Instruction-Tuned LLMs: Enhancing Performance and Control Keywords: Instruction tuning, Large Language Models (LLMs), Fine-tuning, Reinforcement learning, Alignment, Prompt engineering, Supervised learning, Human feedback, Generalization, Task performance Large Language Models (LLMs) have demonstrated impressive capabilities in generating human-quality text, translating languages, and answering questions. However, their performance can be further enhanced and controlled through instruction tuning,…