Technical deep dives. No bullshit.
Architectures, benchmarks, papers, advanced tutorials. For devs, researchers and CTOs who want to understand what's really going on.
Deep dive
Transformer architecture explained
Attention, embeddings, positional encoding — the essentials to read modern papers.
Production
RAG patterns that scale in production
Indexing, reranking, adaptive chunking, evaluation. What actually works at 100M docs.
Decision
Fine-tuning vs prompt engineering vs RAG
When to use what, cost comparison, benchmarks on real-world cases.
Research
MoE architectures: state of the art
Switch Transformer, Mixtral, DeepSeek V3 — how and why they work.
Tooling
Autonomous agents: frameworks compared
LangGraph, CrewAI, AutoGen, OpenAI Agents: the honest benchmark.
Security
Red-teaming and LLM security
Prompt injection, jailbreaks, data exfiltration — how to test and defend.