Discover AI Courses

AutoGPT and BabyAGI - Understanding Autonomous AI Agents for Large Language Models

Explore autonomous AI agents AutoGPT and BabyAGI, understanding their capabilities, risks, and integration with GPT-4 and LangChain for automated resource management and task execution.

• YouTube
• 30 minutes
• On-Demand
• Free Video

LangChain - Integrating External Documents and SQL with GPT-4

Dive into LangChain's capabilities for integrating external documents and SQL with GPT-4, learning to chain multiple data sources and leverage advanced language models effectively.

• YouTube
• 31 minutes
• On-Demand
• Free Video

LLM Ecosystem: A Comprehensive Guide to Large Language Models and AI

Dive into the comprehensive world of Large Language Models, from GPT to LLaMA, covering model architectures, fine-tuning techniques, and practical implementation strategies for AI applications.

• YouTube
• 27 minutes
• On-Demand
• Free Video

The ALPACA Code: Self-Instruct Fine-Tuning of Large Language Models

Dive into the technical implementation of self-instruct fine-tuning for Large Language Models using ALPACA, covering synthetic dataset generation and parallel task optimization.

• YouTube
• 25 minutes
• On-Demand
• Free Video

Creating Self-Instruct Data Sets for LLM Fine-Tuning with ChatGPT

Master the creation of synthetic instruction datasets using ChatGPT and GPT-4 for fine-tuning language models, covering data generation, multi-task training, and task decomposition techniques.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Self-Instruct Fine-Tuning of Large Language Models - Introduction to Alpaca

Master self-instruct fine-tuning techniques for LLMs, focusing on synthetic data generation using ChatGPT/GPT-4 to enhance model performance in specific tasks like summarization and translation.

• YouTube
• 27 minutes
• On-Demand
• Free Video

Optimizing LLM Fine-Tuning with PEFT and LoRA Adapter-Tuning for GPU Performance

Master efficient fine-tuning of large language models using PEFT and LoRA techniques, optimizing GPU memory usage through INT8 quantization and adapter-tuning for cost-effective model development.

• YouTube
• 35 minutes
• On-Demand
• Free Video

Parameter-Efficient Fine-Tuning with LoRA - Optimizing LLMs for Local GPU Training

Master PEFT LoRA techniques to efficiently fine-tune large language models on local GPUs through low-rank adaptation, reducing memory requirements while maintaining model performance.

• YouTube
• 41 minutes
• On-Demand
• Free Video

How to Fine-tune T5 and Flan-T5 Large Language Models - Theory Introduction

Discover the fundamentals of fine-tuning T5 and Flan-T5 language models, exploring key differences, implementation steps, and practical applications using Hugging Face transformers.

• YouTube
• 27 minutes
• On-Demand
• Free Video

Building a BLIP-2 Application: Vision Transformer and Language Model Integration

Master building a multimodal AI system that combines Vision Transformers and language models to analyze images and generate contextual responses through practical implementation of BLIP-2 architecture.

• YouTube
• 23 minutes
• On-Demand
• Free Video

Performance Analysis of 12 AI Language Models for Clinical Decision Making in Healthcare

Explore the comparative analysis of 12 AI language models in clinical settings, examining their effectiveness in processing health records and performance against specialized medical systems.

• YouTube
• 37 minutes
• On-Demand
• Free Video

PyTorch Vision Transformer - Guide to Fine-Tuning for Object Identification

Master fine-tuning Vision Transformers (ViT) in PyTorch through hands-on coding, focusing on object identification implementation with practical examples and real-time coding demonstrations in Google Colab.

• YouTube
• 22 minutes
• On-Demand
• Free Video

PyTorch Vision Transformer: Applying Pre-trained and Fine-tuned ViT Models for Image Classification

Master Vision Transformer implementation in PyTorch using pre-trained and fine-tuned ViT models for image classification, with hands-on practice in Google Colab and Huggingface integration.

• YouTube
• 23 minutes
• On-Demand
• Free Video

Vision Transformer-Based Transfer Learning for Medical Image Classification 2023

Explore cutting-edge Vision Transformer technology for medical image classification, focusing on mammogram analysis and early breast cancer detection through advanced deep learning approaches.

• YouTube
• 21 minutes
• On-Demand
• Free Video

Fine-tuning ChatGPT with In-Context Learning - Chain of Thought, AMA, and ReAct Reasoning

Master advanced in-context learning techniques like Chain-of-Thought and ReAct to optimize ChatGPT's performance without expensive fine-tuning, based on latest research insights and practical applications.

• YouTube
• 37 minutes
• On-Demand
• Free Video