Technical Breakdowns
Neural Networks
Dive into exactly how they work. No prior knowledge required!
Retrieval Augmented Generation (RAG)
An alternative to fine tuning. Let's give LLMs access to a database!
Intro to RL - Part 2
Let's dive deeper into RL, covering the Bellman Equations!
Mamba Neural Network
This paper was released earlier this year, and is an alternative to the Transformer!
Model Distillation
Let's cover model distillation, a key contribution to deep learning by Dr. Hinton.
Intro to Multi Agent Frameworks
In this lecture, we go over the Self Organized Agent Framework for code generation!
Mixture of Experts
The secret neural network behind GPT 4. PyTorch is a prerequisite to this lecture!
Intro to RL - Part 1
An intro to Reinforcement Learning. Let's build agents that learn in an environment!
Infinite Transformer . . .
Google developed a new Transformer that can process infinite context. Let's explain it.
RL - Part 3
Let's dive into PPO, the algorithm behind RLHF (RL from Human Feedback).
Survey of LLM RS
In this lecture, we go over options for using LLMs as RS (Recommendation Systems) ! Discriminative & Generative Models are discussed.
Graph Neural Networks (GNNs) - Part 2
Let's implement a Graph Neural Network and train it using PyTorch Geometric!
Image Classification
The basics of Convolutional Neural Networks, also known as CNNs.
Vision Transformer
Transformers can be used for image recognition too! Move over CNNs . . .
ScreenAI (Google Paper)
What if we had a Vision - Language Model specialized for user interfaces?
Classical ML
Let's discuss the K-Means algorithm, an unsupervised clustering method!
Graph Neural Networks (GNNs)
Let's explore the basics of GNNs, as well as the Attention Graph Network from 2018.
ChatDev Multi Agent Framework
In this lecture, we go over the ChatDev Framework for software development!
Sentence BERT (SBERT)
In this lecture, we go over how to train Sentence or Paragraph Embeddings - without using Token/Word Embeddings!
New Member Note
I previously created these lectures while I was running an ML Community, in which we reviewed papers on a Discord Server.
This service was in the ballpark of $1000 USD and isn't offered anymore, but I'll reach out if it ever becomes available again!
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For now, enjoy these recordings as a free bonus!