Comment “notes” & I’ll share the notes with you in your DM 🤝🏻 📌 Generative AI — Generates new content like text, code, images, audio & video. 📌 LLMs — Models that understand and generate human-like language. 📌 Embeddings — Numerical representations of meaning and relationships. 📌 Vector Databases — Store and search embeddings using similarity. 📌 RAG — Gives LLMs relevant external information as context. 📌 Attention — Helps models focus on the most relevant parts of the input. 📌 Context Window — The amount of information a model can process in one request. 📌 Tokenization — Breaking text into tokens that models can process. 📌 MCP — A standard for connecting AI models with tools and data. 📌 Fine-tuning — Adapts a pre-trained model to a specific domain or task. Save this as your AI engineering cheat sheet. 💌 #generativeai #systemdesign #tech #coding #codinglife webdev [dsa, system design, Amazon S3, AI, AI engineering, tech, Machine learning, Generative AI, vector...