Post The only LLM cheat sheet you'll ever need 🚀

The only LLM cheat sheet you'll ever need 🚀 Covers the main concepts, architectures, and practical applications. ### Basics - Tokens (tokenization, BPE) - Embeddings (cosine similarity) - Attention mechanism (Attention formula, Multi-Head Attention) ### Transformer architecture and its variants - BERT (models with only an encoder) - GPT (models with only a decoder) - T5 (models with an encoder and a decoder) ### Large language models (LLMs) - Prompting (context length, Chain-of-Thought) - Pre-training (SFT, PEFT/LoRA) - Preference tuning (Reward Model, Reinforcement Learning) - Optimizations (Mixture of Experts, Distillation, Quantization) ### Applications - LLM-as-a-Judge (LaaJ) - RAG (Retrieval-Augmented Generation) - Agents (ReAct) - Reasoning models (Scaling) ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A #LLM #AI #MachineLearning #DeepLearning #PromptEngineering #Tech