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

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.

Founder & Consultant.
author Connor Fagan Founder & Consultant

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