💬 A History of Neural Network Architectures
💬 Introduction to the LLaMa.cpp Interface
💬 Preparing A100 for Server Operations
💻 Operate LLaMa2 Models with LLaMa.cpp
💻 Selecting Quantization Level to Meet Performance and Perplexity Requirements
💬 Running the llama.cpp Package
💻 Llama interactive mode
💻 Persistent Context with Llama
💻 Constraining Output with Grammars
💻 Deploy Llama API Server
💻 Develop LLaMa Client Application
💻 Write a Real-World AI Application using the Llama API