Chris Hay Courses

Easily Build 3D Desktop React Apps Using Tauri, Rust, TheatreJS and React Three Fiber

1 rating

Learn to create 3D desktop apps using Tauri, Rust, TheatreJS, and React Three Fiber. Build interactive 3D scenes, implement animation timelines, and integrate desktop functionalities in this hands-on tutorial.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

Introduction to ESBuild Tutorial for React - JavaScript and Typescript Bundling

1 rating

Learn to use ESBuild for fast JavaScript/TypeScript bundling, React transpilation, and development workflow optimization. Explore its advantages over Webpack and enhance your web development skills.

• YouTube
• 41 minutes
• Self-Paced
• Free Video

Python Apple MLX Tutorial: Introduction to Machine Learning on Apple Silicon

Learn MLX framework for Apple Silicon: GPU operations, transformers, language models, and generative AI concepts. Applicable to PyTorch and NumPy users.

• YouTube
• 48 minutes
• Self-Paced
• Free Video

AI Math Compiler for Synthetic Dataset Generation - Emitting Reasoning Steps

Explore an innovative AI math compiler that generates synthetic datasets with reasoning steps, enhancing AI model training for mathematical problem-solving.

• YouTube
• 39 minutes
• Self-Paced
• Free Video

Exploring Gemini 2 Models and AI Agents in LMSYS Chatbot Arena

Explore AI agents' impact on LLM access, focusing on Google's Gemini models and their use of real-time information to reduce hallucinations in the LMSYS Chatbot Arena.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

Microsoft PHI-4 Model Comparison and Performance Analysis

Explore Microsoft's PHI 4 AI model's capabilities through hands-on testing, comparing its performance in mathematics, coding, gaming strategies, and creative tasks against other leading AI models.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

Build Your First AI Agent With Google ADK in Minutes

Learn to build AI agents with Google ADK using Gemma3 via Ollama or GPT-4o-mini via LiteLlm. Create function-calling tools, multi-agent systems, and explore the adktools package for simplified development.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Google's A2A Protocol - Overview and Implementation Guide

Explore Google's A2A Protocol for standardized agent-to-agent communication through practical demonstrations using a2a-cli tool, and learn to build and host your own agent with ADK.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

QWEN 2.5 Coder - Local AI Development with Ollama, Open WebUI and Continue

Master local AI coding with QWEN-2.5 Coder through Ollama, OpenWebUI, and Continue. Set up a powerful development environment and explore coding capabilities across Python, JavaScript, React, and Rust.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Chat with AI in 2 Lines of Code - Multi-LLM Provider Tutorial with Chuk-LLM

Discover how to quickly integrate multiple large language models using chuk-llm, a unified async library that simplifies AI chat implementation with automatic Ollama model discovery.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

Benchmarking LLMs: Claude 4, Gemini 2.5, and Mixture of Expert Models

Explore comprehensive benchmarking of leading AI models including Claude 4, Gemini 2.5, GPT-4, and Mistral, revealing performance insights and identifying which use Mixture of Experts architecture.

• YouTube
• 38 minutes
• Self-Paced
• Free Video

Testing Qwen3 Models for Local Agents with MCP - From 0.6B to 235B

Explore Qwen3 models from 0.6B to 235B parameters, testing their capabilities with MCP for local agents and comparing performance across various tasks including tool calling and telnet commands.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

Fine-Tuning Models with Apple MLX - A Comprehensive Guide

Master Apple MLX fine-tuning techniques, from dataset building to model selection. Learn to optimize Qwen 2.5 Coder models, implement LoRA, and solve common challenges like model forgetfulness and dataset diversity.

• YouTube
• 47 minutes
• Self-Paced
• Free Video

Training DeepSeek R1 1.5B Model for Enhanced Mathematical Reasoning Through Coldstart Method

Dive into the DeepSeek R1 coldstart technique and learn how to enhance mathematical reasoning in smaller AI models through chain-of-thought prompting, synthetic data generation, and fine-tuning processes.

• YouTube
• 42 minutes
• Self-Paced
• Free Video

Understanding DeepSeek R1 Reward Modeling and Verifiers for AI Training

Dive into DeepSeek's reward modeling system and learn to create custom verifiers for training reasoning-based AI models. Master sampling strategies, dataset generation, and fine-tuning techniques for enhanced model performance.

• YouTube
• 45 minutes
• Self-Paced
• Free Video