When to Choose Model Fine‑Tuning vs RAG for Large‑Model Engineering Interviews

The article explains the technical background and suitable scenarios for Retrieval‑Augmented Generation (RAG) and model fine‑tuning, compares their strengths, discusses how they can be combined, and provides interview‑style Q&A on their capabilities, risks, and differences from model distillation.

AI InterviewFine‑TuningLarge Language Models

0 likes · 7 min read

When to Choose Model Fine‑Tuning vs RAG for Large‑Model Engineering Interviews

Alibaba Cloud Developer

May 28, 2025 · Artificial Intelligence

Unlocking LLM Fine‑Tuning: From Architecture to LoRA, DPO and Deployment

This article provides a comprehensive guide to large language model fine‑tuning, covering model architecture, parameter and memory calculations, prompt engineering, data construction, LoRA and PEFT techniques, reinforcement learning methods such as DPO, and practical deployment workflows on internal platforms.

Fine‑TuningLLMLoRA

0 likes · 21 min read

Unlocking LLM Fine‑Tuning: From Architecture to LoRA, DPO and Deployment

Baobao Algorithm Notes

Jun 27, 2024 · Artificial Intelligence

Engineering Data for R&D Large Language Models: From Pre‑training to Prompt Design

This article presents a comprehensive guide to data engineering for research‑focused large language models, covering domain‑adaptive pre‑training, supervised fine‑tuning, retrieval‑augmented generation, dataset construction, data cleaning pipelines, token‑izer adaptation, and prompt engineering best practices to boost model performance in specialized tasks.

Data EngineeringFine‑TuningLLM

0 likes · 20 min read

Engineering Data for R&D Large Language Models: From Pre‑training to Prompt Design