Discover AI Courses

Creating Instruction Datasets for LLM Fine-tuning - A Beginner's Guide

Discover comprehensive strategies for creating instruction datasets and fine-tuning LLMs, from basic concepts to advanced techniques for both coders and non-coders in AI model development.

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

Graph-of-Thoughts: From Chain-of-Thoughts to Advanced AI Reasoning Algorithms

Explore the evolution of AI reasoning from Chain-of-Thoughts to Graph-of-Thoughts, discovering advanced algorithms that enhance autonomous agent capabilities and decision-making.

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

Coding RLHF on LLama 2 with LoRA, 4-bit Quantization, TRL and DPO

Master advanced LLM fine-tuning techniques using RLHF, implementing DPO and PPO methods on Llama models with 4-bit quantization and LoRA for optimized performance and human feedback integration.

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

WizardCoder 34B: Understanding Complex Fine-Tuning for Code Generation

Delve into the advanced fine-tuning techniques behind WizardCoder-34B, exploring its performance improvements through complex instruction cascading and evolutionary approaches.

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

LLM-augmented Autonomous Agents - Achieving Goals with One Prompt Without LangChain

Discover how to orchestrate multiple AI agents using advanced prompt engineering, enabling complex task resolution through collaborative interactions and digital twin simulations - no LangChain required.

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

Reinforcement Learning: From Policy Optimization to Multi-Agent Systems

Explore reinforcement learning fundamentals, from reward systems and policy optimization to transformer architectures in robotics and multi-agent systems, with practical implementation insights.

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

Robotics Transformer 2 (RT-2) - Vision-Language Models for Advanced Robotics

Explore how RT-2 combines Vision-Language Models with robotics, enabling advanced control systems and improved generalization through web-scale pre-training and specialized datasets.

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

Expert API LLM Gorilla-7B: Writing Code for APIs Using Large Language Models

Discover how Gorilla-7B, an API-optimized language model, generates complete code sequences from natural language prompts for tasks like image recognition and language translation.

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

Introduction to KERAS 3 Core for PyTorch and JAX

Explore KERAS 3's framework-agnostic capabilities for building neural networks and transformers across TensorFlow, PyTorch, and JAX platforms with advanced customization options.

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

Python Classes for AI Model Subclassing and Fine-tuning

Master Python classes and their application in AI development, focusing on LLM fine-tuning and Vision transformer implementation with KERAS3 functionality.

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

How to Chat with LaTeX Documents Using GPT-4 Code Interpreter

Discover how to effectively communicate mathematical formulas with GPT-4 Code Interpreter by leveraging LaTeX documents for seamless AI interactions and improved formula comprehension.

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

Data Science with GPT-4 Code Interpreter: From Problem to Visualization - A Complete Project Demo

Explore how GPT-4's Code Interpreter automates data science workflows, from cleaning 5000+ EU project descriptions to implementing clustering algorithms and 3D visualizations.

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

ChatGPT vs GPT-4 - A Direct Comparison and Analysis

Explore a side-by-side analysis of GPT-3.5 and GPT-4 through 10 diverse challenges, revealing key differences in reasoning, creativity, and problem-solving capabilities.

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

Multi AI-Agents Reasoning with LLMs - Python Code Examples

Master the creation and implementation of multi-agent LLM systems in Python, from basic agent coding to complex hierarchical reasoning structures using GPT-4, including practical examples and real-world applications.

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

Multi-Agent Function Calling with Large Language Models - Building AI Agents

Dive into building AI agents using OpenAI's function calling capabilities and GPT-4, learning to integrate external APIs without LangChain for streamlined development and enhanced functionality.

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