
Module 2 Lesson 1: AI System Components
Deconstruct the components of modern AI systems, from data layers to infrastructure, to understand the critical pieces that require security monitoring.
13 articles

Deconstruct the components of modern AI systems, from data layers to infrastructure, to understand the critical pieces that require security monitoring.
Hands-on: Analyzing model suitability and understanding the serverless AI paradigm.
Choosing your model. Comparing the strengths and tradeoffs of GPT-4, Claude, Gemini, and Llama.
The Power of Agnosticism. Why LangChain uses wrappers to ensure you can switch models without rewriting your code.
Messages vs. Strings. Understanding the different ways LLMs process input and why Chat models are the modern standard.
Hands-on: Implementing a model switcher that allows you to change the 'Brain' of your app via a simple configuration.
Reviewing model abstractions, streaming, and batching. Your final check before moving to Prompts.
Exploring the library of AI. How to navigate the Ollama library to find the perfect model for your task.
Decoding the colon. Understanding what 'llama3:8b-instruct-q4_K_M' actually means.
Meet the family. A guide to the most important open-weights models available in Ollama today.
Understanding the trade-offs of scale. Why a 70B model is smarter than an 8B model, and why you might not want to use it.
Put your knowledge to the test. Compare Llama, Mistral, and Gemma on speed, humor, and logic.
The universe of open AI. Understanding the scale of Hugging Face and how it relates to Ollama.