AI Learning & Guides

OpenAI’s API guide covers prompt engineering strategies and tactics for working with large language models.

The UFLDL tutorial teaches core ideas in unsupervised feature learning and deep learning.

This repository collects guidance and examples for building retrieval-augmented generation applications.

This article discusses DSPy and its role in prompt engineering frameworks such as LangChain and LlamaIndex.

Tensor Trust offers an interactive game about testing AI security and model robustness.

This BrainSoup knowledge base provides setup, usage, and troubleshooting articles for its agent software.

This blog covers machine learning applications, with a focus on PyTorch examples and deep learning code.

This guide explains prompt techniques for generating art and copy, with templates and style suggestions.

CAIS discusses potential catastrophic risks from AI, including risks to society and public safety.

The Prompt Engineering Guide teaches prompt engineering and provides learning materials about language models.

This repository collects 60 prompts for data science tasks with ChatGPT.

This Scaler roadmap introduces artificial intelligence and machine learning topics through its blog.

AnimatedLLM explains how large language models work through a web application.

Play Tensor Trust to explore prompt injection attacks and defenses through interactive challenges.

The Cartography of Generative AI is available as a PDF in several languages and explores generative AI.

This Hugging Face Space presents the evolution of open-source image generation.

The PygmalionAI wiki explains how to create a character card for use with its chat app.

This repository contains example code and guides for building with the E2B SDK.

This article discusses AI-generated art, creativity, and questions about derivative works.

AnimatedLLM uses animations to explain the mechanisms behind large language models.

SDTools provides a short wiki and cheat sheet for learning how Stable Diffusion works.

Deep Angel challenges visitors to distinguish AI-manipulated videos from real videos.

This guide introduces the history of generative AI and explains how generative systems create content.

Deep Else presents a critical framework for thinking about AI art and its history.