Machine Learning and AI Trends

Chapter 3: Basic Image Processing Techniques

Introduction to Computer Vision

Chapter 6: Model Evaluation and Selection

Time Series Analysis and Forecasting

Chapter 3: Finding and Selecting Local LLMs

Getting Started with Local LLMs

Chapter 2: Preparing Your Local Environment

Getting Started with Local LLMs

Chapter 1: Advanced LLM Quantization Fundamentals

Deploying Quantized LLMs for Efficient Inference

Chapter 6: Interacting with Files

Python Programming Fundamentals

Chapter 4: Running Your First Local LLM

Getting Started with Local LLMs

Chapter 1: Introduction to Data Visualization

Data Visualization with Matplotlib and Seaborn

Chapter 5: Estimating Hardware Needs

Understanding LLM Model Sizes and Hardware Requirements

Chapter 5: Quantization Formats and Tooling

Practical Quantization for Large Language Models

Chapter 5: Quantization Formats and Tooling

Practical Quantization for Large Language Models

Chapter 2: Implementing LLM Quantization with Toolkits

Deploying Quantized LLMs for Efficient Inference