Release of Jackrong LLM Fine-Tuning Guide

How to Fine-tune Large Language Models (LLMs) for Specialized Applications

Fine-Tuned Small LLMs Outperform Larger Models at 5-30x Lower Cost with Data Curation

The article discusses how fine-tuned small language models (LLMs) can outperform larger ones at significantly lower costs (5-30x) through pr

Comprehensive Guide to LLM Inference Systems

The LLM Inference Handbook is a comprehensive guide covering core concepts, performance metrics, optimization techniques, and best practices

The growing complexity of modern LLM architectures: From Llama to Nemotron

The article discusses how LLM architectures have evolved from the clean, simple Transformer stacks of Llama (2022-2023) to much more complex

Strategies for Scaling LLMs to Larger Codebases Through Guidance and Oversight

The article explores strategies for scaling Large Language Models (LLMs) to work effectively with larger codebases, focusing on the importan

Evolution of Large Language Model Architectures: A Critical Comparison

The article discusses the evolution of large language model (LLM) architectures from GPT-2 to newer models like DeepSeek-V3 and Llama 4, que