Discover AI Courses

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
• On-Demand
• Free Video

Expert API LLM Gorilla-7B: Writing Code for APIs Using Large Language Models

Discover how Gorilla-7B, an API-optimized language model, generates complete code sequences from natural language prompts for tasks like image recognition and language translation.

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

Introduction to KERAS 3 Core for PyTorch and JAX

Explore KERAS 3's framework-agnostic capabilities for building neural networks and transformers across TensorFlow, PyTorch, and JAX platforms with advanced customization options.

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

Python Classes for AI Model Subclassing and Fine-tuning

Master Python classes and their application in AI development, focusing on LLM fine-tuning and Vision transformer implementation with KERAS3 functionality.

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

How to Chat with LaTeX Documents Using GPT-4 Code Interpreter

Discover how to effectively communicate mathematical formulas with GPT-4 Code Interpreter by leveraging LaTeX documents for seamless AI interactions and improved formula comprehension.

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

Data Science with GPT-4 Code Interpreter: From Problem to Visualization - A Complete Project Demo

Explore how GPT-4's Code Interpreter automates data science workflows, from cleaning 5000+ EU project descriptions to implementing clustering algorithms and 3D visualizations.

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

ChatGPT vs GPT-4 - A Direct Comparison and Analysis

Explore a side-by-side analysis of GPT-3.5 and GPT-4 through 10 diverse challenges, revealing key differences in reasoning, creativity, and problem-solving capabilities.

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

Multi AI-Agents Reasoning with LLMs - Python Code Examples

Master the creation and implementation of multi-agent LLM systems in Python, from basic agent coding to complex hierarchical reasoning structures using GPT-4, including practical examples and real-world applications.

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

Multi-Agent Function Calling with Large Language Models - Building AI Agents

Dive into building AI agents using OpenAI's function calling capabilities and GPT-4, learning to integrate external APIs without LangChain for streamlined development and enhanced functionality.

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

FLAX Neural Network Library: Introduction to Deep Learning with JAX

Discover FLAX, a powerful neural network library built on JAX, through hands-on coding examples and learn essential concepts for building and training neural networks efficiently.

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

In-Context Learning Over Graphs for Large Language Models - PRODIGY Method

Explore PRODIGY, Stanford's innovative approach to graph machine learning that enables in-context learning for classification tasks on unseen graphs, advancing LLM reasoning capabilities.

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

Performance Evaluation of Open-Source Instruction-Tuned Large Language Models

Explore the latest performance benchmarks and evaluation methodologies for open-source instruction-tuned Large Language Models through comprehensive leaderboard comparisons.

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

Understanding 4-bit Quantization and QLoRA - Memory Efficient Fine-tuning of LLMs

Dive into memory-efficient fine-tuning of large language models through 4-bit quantization and QLoRA, combining theoretical foundations with practical implementation in Colab.

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

Vectorizing Enterprise Documents for AI and ChatGPT Integration

Discover how to transform enterprise documents into AI-ready vector formats and integrate external data with ChatGPT/GPT-4 through practical demonstrations and clear examples.

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

Visualizing Data Integration Between ChatGPT and Enterprise Systems

Discover how to integrate enterprise data with ChatGPT through OpenAI plugins, vector stores, and semantic search capabilities, focusing on GPT-4's dynamic data flow and PostgreSQL integration.

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