Discover AI Courses

LLM Prompt Formatting: Optimizing Performance for Language Models and RAG Systems

Master the critical impact of prompt formatting on LLM and RAG system performance, exploring optimization techniques and understanding how different formats influence AI model responses.

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

Self-Extending LLM Context Windows Using Grouped Self-Attention

Discover how to extend LLM context windows through grouped self-attention, enabling longer text processing without model retraining. Learn implementation techniques and practical applications.

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

Supercharging Multi-LLM Intelligence with CALM - Composition to Augment Language Models

Discover how CALM (Composition to Augment Language Models) revolutionizes multi-LLM integration through advanced projection layers and cross-attention mechanisms for enhanced AI capabilities.

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

Beyond Mamba AI: Vector Fields and Fluid Dynamics in Transformer Models - Session 6

Explore the intersection of fluid dynamics and AI transformers, examining mathematical frameworks and theoretical physics concepts to enhance understanding of advanced neural network architectures.

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

AI Agent Self-Improvement and Self-Fine-Tuning Through Reinforcement Learning

Discover how AI agents can autonomously update and fine-tune themselves through reinforcement learning, focusing on overnight self-improvement and mobile deployment optimization.

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

Mamba AI: Understanding Selective State Space Models as Transformer Alternatives

Explore the groundbreaking MAMBA architecture and its potential to revolutionize AI through selective state space models, offering a compelling alternative to traditional transformers.

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

Integrating AI with Real-time Data and RAG - Part 2

Dive into practical methods for integrating fine-tuned AI systems with external data sources, focusing on Retrieval Augmented Generation (RAG) and real-time data connectivity for enhanced AI applications.

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

How to Start with AI: A Business Guide to Generative AI Implementation

Gain insights into AI entrepreneurship, market dynamics, and profitable business strategies while exploring implementation challenges, infrastructure needs, and practical solutions for AI integration.

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

Mixture of Experts (MoE) in Large Language Models - A Simple Guide

Delve into the architecture and functionality of Mixture of Experts (MoE) systems in language models through clear examples and technical insights about token routing, gating networks, and computational efficiency.

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

Creating GPTs with OpenAI's Assistants API - A Practical Guide

Discover how to leverage OpenAI's Assistants API to build custom GPTs with code interpretation, function calling, and knowledge augmentation through RAG and retrieval capabilities.

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

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