While Large Language Models (LLMs) like GPT, Gemini, or Claude are powerful, their large size and resource requirements make them impractical for many tasks. To address this, smaller open-source LLMs can be finetuned and customized for specific needs using techniques like Quantization and Low-Rank Adaptation (LoRA). These techniques reduce memory consumption and improve computational efficiency, […]
