AI Post

For people who keep asking what to build in AI Engineering > Build your own Reasoner (Chain of Thought implementation) > Build your own Agent loop (ReAct pattern) > Build your own Inference Server (in C++/Rust) > Build your own Transformer from scratch (Attention is all you need) > Build your own Vector Database (HNSW index) > Build your own RAG pipeline > Build your own Flash Attention kernel (CUDA) > Build your own Quantization library (Int8/FP4 implementation) > Build your own Mixture of Experts (MoE) routing layer > Build your own Distributed training loop (FSDP/Tensor Parallelism) > Build your own KV Cache paging system (like vLLM) > Build your own Speculative Decoding system > Build your own State Space Model (Mamba implementation) > Build your own RLHF pipeline (PPO implementation) > Build your own Small Language Model (SLM) > Build your own Matrix Multiplication kernel > Build your own LoRA (Low-Rank Adaptation) trainer > Build your own Code interpreter sandbox > Build your own DPO (Direct Preference Optimization) loss function > Build your own Graph RAG system > Build your own Model merger (Model Soups/Spherical Linear Interpolation) > Build your own Interpretability tool (SAE - Sparse Autoencoders) > Build your own Synthetic data generator > Build your own Function Calling router > Build your own Structured Output parser (Context Free Grammars) > Build your own Multi-modal projector (CLIP implementation) > Build your own LLM Eval harness > Build your own Guardrails system (Input/Output filtering) > Build your own Prompt caching mechanism > Build your own Tokenizer (BPE implementation) > Build your own Autograd engine (like Micrograd) > Build your own Diffusion model (UNet + Scheduler) > Build your own Vision Transformer (ViT) > Build your own Whisper-style ASR model > Build your own Text-to-Speech pipeline > Build your own Semantic Router > Build your own Knowledge Graph builder > Build your own Data curation pipeline (MinHash/Deduplication) > Build your own AI Gateway (Load balancing/Failover) > Build your own Parameter Efficient Fine-Tuning (PEFT) library > Build your own Text-to-SQL engine > Build your own Recommendation system (Two-tower architecture) > Build your own Embedding model > Build your own Logit Processor > Build your own Softmax kernel optimization > Build your own Adversarial attack generator > Build your own Audio Spectrogram transformer > Build your own Neural Architecture Search > Build your own Model Distillation pipeline > Build your own Feature Store > Build your own Database driver (for Vectors)