Build Your Own AI Engineering Projects

De Wikiprompt, a enciclopédia livre de prompts

Rahul
Contribuído porRahulXFonte

31 de ago. de 2026

Build Your Own AI Engineering Projects A comprehensive list of 50 hands-on AI engineering projects to build from scratch, covering models, systems, and tools.

Conteúdo do PromptSalvar

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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)

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Categorias:education| twitter| ai-engineering| build-from-scratch

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