NexTechTide

🔑 Core AI Terminology Term What it Means Why It Matters LLM (Large Language Model) Neural networks trained on massive text datasets to understand and generate human language Foundation of tools like ChatGPT, Claude, Gemini Embedding Dense vector representations of text, images, etc. Core for search, recommendations, semantic similarity Fine-tuning Training an existing model on a smaller, domain-specific dataset Needed when you want a custom model for your business RAG (Retrieval-Augmented Generation) Combines LLMs with external data sources (via search, vector DBs) Solves LLM limitations like outdated knowledge Agent Systems that use models + tools to autonomously achieve tasks Key for automation: AI workflows, coding agents Multimodal Model Models that process text, image, audio, video inputs Used in tools like GPT-4o, Gemini for richer applications ⚙️ Key Frameworks & Libraries Framework Purpose Popular Use LangChain Build apps with LLMs, chaining calls, tools, memory RAG, chatb...