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Featured Insights

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
Foundational Concepts

What Is a Transformer Model? An In-Depth Guide

A deep dive into the Transformer architecture, the engine behind modern LLMs. Understand self-attention, encoders, decoders, and how they work together.

By Alex Carter
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 Noll
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Latest Articles

Fresh insights and practical techniques

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.

Technical

RAG Evaluation 101: From Recall@K to Answer Faithfulness

# RAG Evaluation 101: From Recall@K to Answer Faithfulness Retrieval-Augmented Generation (RAG) systems combine an information retriever with a generative model to produce answers grounded in extern...

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