Discover AI Courses

StreamingLLM: Enabling Infinite Sequence Length in Large Language Models

Dive into StreamingLLM's framework for extending LLM attention windows to handle infinite sequences, featuring practical implementation insights and code analysis.

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

The Future of AI: From Language Models to Multimodal Agents and Video Processing

Explore the cutting-edge developments in AI technology, from multimodal agents to GPT-4's video capabilities, and discover how AI systems are evolving to handle diverse data types and tasks.

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

Multi-Agent AI Systems with AutoGen - Complete Code Tutorial

Dive into Microsoft's AutoGen framework, exploring multi-agent AI systems through practical code examples, communication protocols, and agent control mechanisms for advanced LLM applications.

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

Mistral 7B: Architecture, Performance and Implementation Guide

Dive into Mistral 7B's implementation, exploring grouped-query attention, efficient GPU usage, and hands-on demonstrations for running advanced language models on local hardware.

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

How to Code Long-Context LLMs - LongLoRA Implementation with Llama 2 100K

Dive into fine-tuning techniques for extending LLM context lengths using LongLoRA, featuring practical implementation on Llama 2 and Flash Attention 2 optimization for handling extensive sequences.

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

Stable Diffusion XL Theory and Code with Shape-Shifting ControlNet

Dive into the advanced mechanics of SDXL and ControlNet, exploring text-to-image diffusion models and shape-shifting techniques for synthetic image manipulation.

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

Beginner's Guide to Stable Diffusion XL Web UI

Discover how to generate AI images using Stable Diffusion XL (SDXL), from basic setup to advanced techniques, with practical guidance for both online and local implementations.

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

LLM Quantization Tutorial: QLoRA, GPTQ, and LLama.cpp Implementation for LLama 2

Master LLM quantization techniques and implement efficient model compression using QLoRA, GPTQ, and Llamacpp, with practical guidance for running optimized LLMs locally across different platforms.

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

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