A guide to building custom LLMs : From Prompting to Fine-tuning

Language models have become an integral part of various natural language processing (NLP) tasks, ranging from chatbots to translation systems. While pre-trained models like GPT (Generative Pre-trained Transformer) might not always fit the specific needs. In this article, let’s explore different techniques for building custom language models that include -

1. Prompting,
2. RAG (Retrieval-Augmented Generation)
3. Fine tuning
4. Pre-training