*[API]: Application Programming Interface
*[CPU]: Central Processing Unit
*[GPU]: Graphics Processing Unit
*[TPU]: Tensor Processing Unit
*[CUDA]: Compute Unified Device Architecture
*[PyTorch]: Python-based open source machine learning framework
*[DTensor]: Distributed Tensor
*[FSDP]: Fully Sharded Data Parallel
*[FSDP2]: Fully Sharded Data Parallel version 2
*[DDP]: Distributed Data Parallel
*[HSDP]: Hybrid Sharded Data Parallel
*[TP]: Tensor Parallel
*[PP]: Pipeline Parallel
*[NCCL]: NVIDIA Collective Communication Library
*[MPI]: Message Passing Interface
*[ML]: Machine Learning
*[AI]: Artificial Intelligence
*[OOM]: Out of Memory
*[RDMA]: Remote Direct Memory Access
*[JIT]: Just-In-Time compilation
*[QoS]: Quality of Service
*[NVMe]: Non-Volatile Memory Express
*[JSON]: JavaScript Object Notation
*[YAML]: YAML Ain't Markup Language
*[CSV]: Comma-Separated Values
*[SDK]: Software Development Kit
*[CLI]: Command Line Interface
*[GUI]: Graphical User Interface
*[SSH]: Secure Shell
*[URL]: Uniform Resource Locator
*[RAM]: Random Access Memory
*[VRAM]: Video Random Access Memory
*[FP8]: 8-bit Floating Point
*[FP16]: 16-bit Floating Point (Half Precision)
*[FP32]: 32-bit Floating Point (Single Precision)
*[BF16]: Brain Floating Point 16
*[AMP]: Automatic Mixed Precision
*[TF]: TensorFlow
*[HF]: HuggingFace
*[LLM]: Large Language Model
*[NLP]: Natural Language Processing
*[CV]: Computer Vision
*[RL]: Reinforcement Learning
*[GAN]: Generative Adversarial Network
*[CNN]: Convolutional Neural Network
*[RNN]: Recurrent Neural Network
*[LSTM]: Long Short-Term Memory
*[GRU]: Gated Recurrent Unit
*[SGD]: Stochastic Gradient Descent
*[Adam]: Adaptive Moment Estimation optimizer
*[AdamW]: Adam with decoupled Weight decay
*[LR]: Learning Rate
*[BS]: Batch Size
*[WD]: Weight Decay
*[KV]: Key-Value
*[MHA]: Multi-Head Attention
*[FFN]: Feed-Forward Network
*[MSE]: Mean Squared Error
*[MAE]: Mean Absolute Error
*[BCE]: Binary Cross-Entropy
*[CE]: Cross-Entropy
*[BERT]: Bidirectional Encoder Representations from Transformers
*[GPT]: Generative Pre-trained Transformer
*[CLIP]: Contrastive Language-Image Pre-training
*[ONNX]: Open Neural Network Exchange
*[TorchScript]: PyTorch's graph representation format
*[W&B]: Weights & Biases
*[TB]: TensorBoard
*[MLOps]: Machine Learning Operations
*[CI/CD]: Continuous Integration/Continuous Deployment
*[REST]: Representational State Transfer
*[gRPC]: Google Remote Procedure Call
*[IPC]: Inter-Process Communication
*[P2P]: Peer-to-Peer
*[AllReduce]: Collective communication operation that combines values from all processes
*[AllGather]: Collective communication operation that g 