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Weekly Lecture Recordings!

Since we have members in many different time zones, members have preferred to have the lectures offline instead of live recently!

If you're a new member and prefer a live format, just shoot me a message and we can find a time that works!

Let me know if you have any questions while watching the recordings, or if you have any suggestions for future topics 🙂. Simply click the image to watch.

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Neural Networks

Dive into exactly how they work. No prior knowledge required!

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Retrieval Augmented Generation (RAG)

An alternative to fine tuning. Let's give LLMs access to a database!

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Intro to RL - Part 2

Let's dive deeper into RL, covering the Bellman Equations!

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Mamba Neural Network

This paper was released earlier this year, and is an alternative to the Transformer!

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Model Distillation

Let's cover model distillation, a key contribution to deep learning by Dr. Hinton.

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Intro to Multi Agent Frameworks

In this lecture, we go over the Self Organized Agent Framework for code generation!

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Mixture of Experts

The secret neural network behind GPT 4. PyTorch is a prerequisite to this lecture!

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Intro to RL - Part 1

An intro to Reinforcement Learning. Let's build agents that learn in an environment!

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Infinite Transformer . . .

Google developed a new Transformer that can process infinite context. Let's explain it.

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RL - Part 3

Let's dive into PPO, the algorithm behind RLHF (RL from Human Feedback).

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Weight Agnostic Neural Networks

Let's explore an interesting concept: Neural Networks that don't require training.

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Graph Neural Networks (GNNs) - Part 2

Let's implement a Graph Neural Network and train it using PyTorch Geometric!

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Image Classification

The basics of Convolutional Neural Networks, also known as CNNs.

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Vision Transformer

Transformers can be used for image recognition too! Move over CNNs . . .

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ScreenAI (Google Paper)

What if we had a Vision - Language Model specialized for user interfaces?

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Classical ML

Let's discuss the K-Means algorithm, an unsupervised clustering method!

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Graph Neural Networks (GNNs)

Let's explore the basics of GNNs, as well as the Attention Graph Network from 2018.

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ChatDev Multi Agent Framework

In this lecture, we go over the ChatDev Framework for software development!

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Sentence BERT (SBERT)

In this lecture, we go over how to train Sentence or Paragraph Embeddings - without using Token/Word Embeddings!

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