Aleksa Gordić - The AI Epiphany Courses

Attention Is All You Need - Transformer Paper Explained

Detailed walkthrough of the original transformer architecture, covering tokenization, embeddings, attention mechanisms, and decoding, with a focus on machine translation applications.

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

Developing a Deep Learning Project - Case Study on Transformer

Explore the development process of a transformer model, from project planning to implementation challenges, with insights on time management, data handling, and optimization techniques.

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

MosaicML - Path to 1.300.000.000$ with Davis Blalock - Discord Server Talks

Insights from MosaicML's first employee on the company's journey, efficiency strategies, competitive edge, and challenges in AI model evaluation.

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

Will LLMs Kill Search? The Future of Information Retrieval

Explore the future of search with Nils Reimers, discussing RAG, multilingual embedding, complex data search, and Cohere-Rerank. Gain insights on LLMs' impact on search technology.

• YouTube
• 1 hour 7 minutes
• On-Demand
• Free Video

Flash Attention 2.0 with Tri Dao - Discord Server Talks

Explore Flash Attention 2.0 with author Tri Dao, covering its motivation, improvements, and future directions. Gain insights into memory bottlenecks and IO awareness in attention mechanisms for long sequences.

• YouTube
• 1 hour
• On-Demand
• Free Video

Building Web Apps Using Streamlit - Streamlit Crash Course - MLOps Series

Learn to build web apps with Streamlit and HuggingFace API. Covers environment setup, Streamlit basics, API integration, Git versioning, and cloud deployment for a comprehensive MLOps introduction.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

What Is MLOps and How to Get Started - MLOps Series

Comprehensive introduction to MLOps, covering key concepts and resources for building automated ML-powered applications. Includes walkthroughs of popular courses and practical insights for aspiring ML engineers.

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

How to Build a Deep Learning Machine - Everything You Need to Know

Comprehensive guide on building a deep learning machine, covering component selection, cost comparisons, and practical tips for assembling a high-performance workstation tailored to AI tasks.

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

High Fidelity Neural Audio Compression - Paper & Code Explained

Explore neural audio compression techniques achieving 10x compression rates, with in-depth analysis of paper and code implementation, including VQ-VAE, VQ-GAN, and AudioGen applications.

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

AudioGen- Textually Guided Audio Generation - Paper Explained

Explore text-guided audio synthesis with AudioGen, delving into its architecture, audio representation, language modeling, and innovative approaches for generating diverse sounds from textual descriptions.

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

OpenAI Whisper - Robust Speech Recognition via Large-Scale Weak Supervision

Explore OpenAI's Whisper: a robust speech recognition system using large-scale weak supervision. Dive into the paper, code, and architecture, covering dataset collection, evaluation metrics, and practical implementation.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

BigScience BLOOM - 3D Parallelism Explained - Large Language Models - ML Coding Series

Explore 3D parallelism in large language models: pipeline, model, and data parallelism. Dive into BLOOM's codebase to understand scaling techniques behind recent ML breakthroughs.

• YouTube
• 1 hour 12 minutes
• On-Demand
• Free Video

Open Pretrained Transformer - ML Coding Series

Deep dive into OPT-175B codebase, covering setup, training script, model construction, CUDA kernels, and mixed precision training concepts for large language models.

• YouTube
• 1 hour 15 minutes
• On-Demand
• Free Video

Training Large Language Models - GPT-NeoX-20B, BigScience BLOOM, OPT-175B Explained

Explore three groundbreaking large language models: BLOOM, OPT, and GPT-NeoX-20B. Gain insights into their development, challenges faced during training, and unique features of each project.

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

Get Started With Stable Diffusion - Code, HF Spaces, Diffusers Notebooks

Learn three methods to use Stable Diffusion: HuggingFace Spaces, Colab notebooks, and local setup. Gain practical skills in image generation, metadata reproduction, and interpolation techniques.

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