Supervised Fine-Tuning

Large Language Models (LLMs) have revolutionized various fields, showcasing remarkable capabilities in understanding and generating human-like text. However, the increasing size of these models often comes with a significant computational cost, hindering their accessibility and deployment. DeepSeek-V2 (a cutting-edge, open-source language model built on the Mixture-of-Experts architecture) addresses this challenge by incorporating innovative architectural designs…