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Hand-picked articles showcasing the best of LLM practice

1
Technology

From DeepSeek-V3 to Kimi K2:Eight Modern Large Language Model Architecture Designs

This article dissects the architectural evolution of modern large language models in 2025, moving beyond benchmarks to analyze the core design choices of flagship open-source models. We explore key innovations like DeepSeek-V3's Multi-Head Latent Attention (MLA) and Mixture of Experts (MoE), OLMo 2's unique normalization strategies, Gemma 3's use of sliding window attention, and Llama 4's take on MoE. By focusing on these architectural blueprints, we gain a clearer understanding of the engineering priorities shaping the future of LLMs.

By Noll
2
Technology

What Is a Transformer Model? An In-Depth Guide

Explore the Transformer model and its architecture. Learn about attention mechanisms and how Transformers power modern AI and Large Language Models (LLMs).

By Quan Ge Tan Ai
3
Technology

Decoding Strategies for Large Language Models Explained

# Decoding Strategies for Large Language Models (LLMs) At the core of every large language model (LLM) is a sophisticated process for generating text. Instead of selecting words at random, the model...

By yong qiang

Latest Articles

Fresh insights and practical techniques

Technology

How to Add Special Tokens to LLMs Safely

Learn how to add special tokens to LLMs during fine-tuning without causing catastrophic forgetting. Our guide covers smart initialization and PEFT/LoRA.

Technology

Top 10 Underground AI Tools of 2025

Discover the top 10 AI tools thriving in the underground economy. Based on real API data, we reveal the AI coding agents and role-playing apps developers use.

Technology

AI Programming Assistant: The Future of Coding

Explore the future of AI programming assistants. Learn about a local-first, secure AI coding tool that automates refactoring, testing, and deployment from your CLI.

Technology

Top RAG Frameworks 2025: A Complete Guide

Explore the top RAG frameworks of 2025. Compare production-ready tools like Haystack & RAGFlow with cutting-edge research to build powerful AI applications.

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