Discover AI Courses

DSPy: Building Self-Improving Language Model Pipelines - Beyond LangChain Templates

Explore DSPy's innovative approach to building self-improving LLM pipelines, featuring automatic prompt engineering and graph-based optimization - moving beyond traditional prompt templates.

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

Demonstrate-Search-Predict: LLM Pipeline to Retriever Model

Explore Stanford's innovative DSP methodology for integrating LLMs with retrieval models, featuring self-programmable pipelines and advanced graph-based architectures for complex NLP tasks.

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

Understanding AI State Machines, State Agents, and State Spaces

Explore fundamental AI concepts including state machines, agent states, and state spaces in modern language models, with clear explanations of their interconnections and applications.

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

AI Domain Generalization: ICRM and ContextVisionTransformers in Medical and Emergency Response

Explore advanced domain generalization in AI through MIT's ICRM methodology and ContextViT, focusing on medical imaging and emergency response applications across diverse real-world scenarios.

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

FASTER Code for Supervised Fine-Tuning and DPO Training with UNSLOTH

Explore practical implementation of UNSLOTH for accelerated Supervised Fine-Tuning and DPO-Alignment of LLMs using Jupyter notebooks with HuggingFace compatibility.

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

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