A big list of amazing AI models and tools, updated regularly with new tools and state of the art.

• Hugging Face: Github for AI models. Hosts AI models, data sets, and interfaces (called Spaces).
• ChatGPT: Current state of the art Generative AI Large Language Model, sign up and use ChatGPT 4 for free (paid plans also available)
• HuggingChat: Huggingface AI model with chat interface, allows you to choose the Large Language Model you wish to use.
• Stable Diffusion: Current state of the art Generative AI model for Images. Includes hosted services for generating images, video, and 3d Models.
• MidJourney: Current state of the art Generative AI model for Images, uses Discord community bot to generate images.

• OpenAI Tips and Tricks: Prompt engineering guide for Large Language Models created by OpenAI (creators of ChatGPT)
• Google Developers Prompt Engineering for Generative AI: A guided learning site for learning more about Generative AI prompting.
• A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT: An academic paper discussing re-usable patterns that can improve your prompt engineering techniques. Mix and match to create better prompts and achieve better results.

• AI Prompt Engineering Is Dead > Long live AI prompt engineering: Explores the themes of prompt engineering and whether it's a skill worth learning, published by a renowned peer-reviewed industry organization site.

• Attention is All you Need (2017): The paper that changed everything - introduces the Transformer architecture that completely revolutionaized generative AI and created the foundation for all of the modern popular AI applications.
• Chain-of-Thought Prompting Elicits Reasoning in Large Language Models (2023): A groundbreaking and somewhat scary discovery that complex reasoning can be drawn out of an LLM simply by using a prompting technique. Contains demonstrations and techniques you can use in your own prompting.
• Large Language Models are Zero-Shot Reasoners (2023): Demonstrates an even scarier discovery that reasoning behavior can be elicited from an LLM by simply adding specific phrases to a prompt with no additional context. Contains demonstrations and techniques you can us ein your own prompting.