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AI Foundations

AI Basics
AI Basics - Generative AI
AI Foundations, explained clearly
AI Basics - What is LLM (Large Language Model)
Quick Introduction to LLM. How developer will use it.
AI Basics - Working With LLM: Prompt, Tokens, Context
LLM: Prompt, Tokens, Context
AI Basics - LLM Output Controls: Temperature, Top-p & Top-k
Understanding LLM Temperature, Top-p & Top-k
AI Basics - How Modern LLMs are Trained
High level LLM training process
AI Basics - AI Model Categories with Examples and Capabilities
AI Model Categories and Examples
AI Basics - LLM Chat Roles
Understanding System, User, and Assistant Roles
AI Basics - Intent Classifier
Understanding AI Intent Classifier
AI Basics - Entity Extraction
Understanding Entity Extraction
AI Basics - Combining Intent And Entity Extraction
Intent classification with Entity Extraction Example
AI Basics - LLM Memory
Understanding LLM Memory
AI Basics - LLM Context Window
What is a Context Window?
AI Basics - Retrieval Augmented Generation (RAG)
Understanding RAG
AI Basics - RAG Components: Embedding Model, Vector store, And LLM
Understanding Embedding Model, Vector store in RAG
AI Basics - AI Agents
Understanding AI Agents
AI Basics - AI Safety And Guardrails
AI Safety and Guardrails
Running LLMs Locally
AI - Getting Started With Ollama
Running LLMs with Ollama
AI - Running LLM Phi3 Mini Locally via Ollama
Downloading and running phi3:mini-128k locally.