Renada Rundown | Understanding AI Jargon! | Ep 2 | Intro into AI Terminology

Summary

This video breaks down intricate AI concepts and provides hands-on guidance for business professionals deploying AI solutions. Connor examines the technical underpinnings alongside the operational and budgetary requirements needed for successful integration.

Highlights

• 💰 Tokens are the currency of AI, determining usage costs for input and output.

• 🔍  Context window size affects how much data AI can process simultaneously, ranging from 128k to 1 million tokens.

•  💾  Prompt caching can reduce AI costs by up to 90% by reusing recent inputs.

• 📚  Retrieval Augmented Generation (RAG) allows AI to search your documents to answer questions accurately.

• 🧮  Vector embeddings represent data contextually in numerical form for smarter AI searching.

• 🗂  Structured outputs like JSON ensure AI responses are consistent and machine-readable for tasks like ticket triage.

• 🤯  AI hallucinations are when the model generates false or misleading information; human oversight is vital.