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Large language model transformer architecture visualization for AI and machine learning
How Large Language Models Work

Understand how ChatGPT, Claude, and Gemini work. Learn transformer architecture and attention mechanisms.

LLM MODELS, PROVIDERS AND TRAINING
Advanced prompt engineering techniques for complex AI reasoning tasks
Advanced Prompt Engineering for Complex Tasks

Master dynamic prompt chaining for complex AI reasoning tasks with minimal hallucination and high reliability.

PROMPT AND CONTEXT ENGINEERING
State of AI development tools and trends October 2025
AI Development in October 2025: State & Future

Comprehensive look at AI development tools, trends, and challenges in October 2025.

BENCHMARKS, CASE STUDIES AND PLAYBOOKS
Context window management for 200K token large language models
Context Engineering: Mastering the 200K Token Era

Master context window management for 200K+ token models. Optimize packing and eliminate truncation.

PROMPT AND CONTEXT ENGINEERING
Prompt engineering best practices that work in 2025
Prompt Engineering 2025: What Works

Learn prompt engineering techniques that actually work in 2025 based on 1000+ experiments.

PROMPT AND CONTEXT ENGINEERING
Large language model transformer architecture visualization for AI and machine learning
Graph RAG: Knowledge Graphs Meet LLMs

Learn to build knowledge graphs that enhance LLM accuracy for complex, multi-hop reasoning.

RAG, GRAPH RAG AND VECTOR DATABASES
AI agents and MCP servers for intelligent automation
AI Agents & MCP Servers: Future of Automation

Beginner-friendly guide to AI agents and MCP servers powering next-gen AI applications.

AI AGENTS, TOOLS AND MCP SERVERS

© 2025 Amir Teymoori