# The Ultimate Step-By-Step LLM Engineering Projects Roadmap (2026 Edition) Bui...
Canonical: https://social-archive.org/yena/GY0yXnaUZq
Original URL: https://x.com/TheAhmadOsman/status/2069044900755292592
Author: Ahmad
Platform: x
## Content
The Ultimate Step-By-Step LLM Engineering Projects Roadmap (2026 Edition) - Build a tokenizer - Learn embeddings - Implement RoPE / ALiBi - Hand-wire attention - Build MHA - Build a Transformer block - Train a mini-former - Compare objectives - Build sampling - Speculative decoding - KV cache - MQA / GQA / MLA - Long context - FlashAttention - Hardware budgets - Toy MoE - Sparse model trade-offs - State-space / linear attention - Diffusion language models - Data pipelines - Synthetic data - Scaling laws - SFT / DPO / RLHF / GRPO - Quantization - Serving stacks - Eval harnesses - RAG - Tool use / agents - Vision-language adapters - Interpretability - Red-team suite - Full capstone model system One request: Choose an Opensource AI lab when you make it Opensource is where humanity gets to keep the tools DM me when you've made it ;)