Exploring AI-ML-NLP

  Introduction to Neuro-Symbolic AI Neuro-Symbolic AI is an advanced paradigm that combines neural networks (deep learning) with symbolic re...

  Introduction. The DoRA (Weight-Decomposed Low-Rank Adaptation) algorithm offers an advanced approach to fine-tuning Large Language Models ...

 Introduction. Fine-tuning large language models (LLMs) is a common practice to adapt them for specific tasks, but it can be computationally...

  Fine Tuning Pretrained LLM's Fine-tuning is a technique used to improve the performance of pre-trained Large Language Models (LLMs) on...

 Background. One-Shot.  One-shot learning refers to the model's ability to perform a task by seeing only one example. The model uses thi...

 Background. Zero-Shot.  Zero-shot learning refers to the model's ability to perform a task without having seen any explicit examples of...