This post explains an attack chain for the ChatGPT macOS application. Through prompt injection from untrusted data, attackers could insert long-term persistent spyware into ChatGPT’s memory. This led to continuous data exfiltration of any information the user typed or responses received by ChatGPT, including any future chat sessions.

An interactive explanation of how Ordinary Least Squares Regression works. This is widely used for predictive modeling in machine learning.

A visual explanation of how Markov Chains work. They are fundamental to generative AI and employed to generate sequences of data, such as text, music, or images, by modeling the probability of transitioning from one state to another.

A visual and interactive explanation of how conditional probability works.

Part 2 of a visual introduction to machine learning covering model tuning and the bias-variance trade-off.

An interactive introduction to machine learning and decision trees which comes to life as you scroll.

Visual explanation of image kernels which are used in machine learning for 'feature extraction', a technique for determining the most important portions of an image.

Over-optimizing efficiency worsens the very goals it aims to achieve, known as Goodhart's law.

Incorporating reinforcement learning with human feedback into NLP at a massive scale.

Learn how Stable Diffusion uses complex equations and machine learning to generate art from noise.

A visual and simplified exploration of the Transformer model in machine learning.

Software 2.0 signifies a foundational shift in how software is developed using neural networks.

This post provides an intuitive introduction to the core concepts of deep learning. It covers the most important deep learning concepts and aims to provide an understanding of each concept rather than its mathematical and theoretical details. While the mathematical terminology is sometimes necessary and can further understanding, these posts use analogies and images whenever possible to provide easily digestible bits comprising an intuitive overview of the field of deep learning.

An introductory guide to LLMs captures the evolving ecosystem and practical application.

Summarizing recent developments and ethical concerns in the field of large language models.

Discover the top 100+ Stable Diffusion prompts for creating stunning AI-generated images.

This article demystifies modern chatbots by dissecting how ChatGPT works.

Guide on writing effective prompts using spaced repetition to enhance memory and understanding.

Explore the fundamentals of prompt engineering for optimizing Large Language Model outputs.

Little is as important for the world’s future and our own lives as how this history continues.

Current practices and prompting tricks to improve LLM output.

LSTMs are crucial for learning long-term dependencies in recurrent neural networks.

Explore the magical outputs and robustness of Recurrent Neural Networks in various data formats.

Discusses the complexity and entropy relationship in a physical systems' evolution.

Annotated version of a transformer with comments adds explanation to the model architecture.

Stephen Wolfram explores what's inside ChatGPT and its ability to produce meaningful text.