Discover AI Courses

Parameter Efficient Fine-Tuning with Multiple LoRA Adapters for Large Language Models

Dive into parameter efficient fine-tuning with LoRA adapters, exploring matrix factorization, SVD, and advanced configurations for optimizing large language models.

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

LLama 2 and PEFT Documentation - Building Interactive LLM with Retrieval Augmented Generation

Master building a RAG-enhanced LLM system using Llama 2 through hands-on coding. Learn web scraping, embedding generation, vector indexing, and semantic search to create an AI that leverages external knowledge sources.

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

LLM as Next-Generation Operating System - Memory Augmented Systems and Continuous Chat

Explore how memory-augmented LLMs can revolutionize operating systems, focusing on multi-AI integration and continuous chat capabilities for next-generation computing architectures.

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

Self-Reflective AI: Understanding Self-RAG Framework for Multi-AI-Agents

Explore the innovative Self-RAG framework that enhances AI language models through self-reflection and intelligent retrieval mechanisms, improving accuracy and contextual relevance in text generation.

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

LLaVA 1.5 - Understanding Multi-modal Vision Language Models

Explore LLaVA 1.5's architecture and capabilities as a multimodal AI system combining vision transformers with language models, featuring improved projection layers and scientific Q&A capabilities.

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

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