Use GPT-3 incorrectly: reduce costs 40x and increase speed by 5x

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

AI imagined images. Pythonic generation of stable diffusion images. - imaginAIry/README.md at master · brycedrennan/imaginAIry

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

An explanation of text embeddings using visual representations.

A new class of incredibly powerful AI models has made recent breakthroughs possible.

A course by Andrej Karpathy on building neural networks, from scratch, in code.

The Generative AI Landscape - A Collection of Awesome Generative AI Applications - ai-collection/ai-collection: The Generative AI Landscape - A Collection of Awesome Generative AI Applications

Perplexity AI is an answer engine that delivers accurate answers to complex questions using large language models

Learn how to use ChatGPT to 10x your productivity! 38 examples using Python, JavaScript, HTML, CSS, React, SQL and more!- Subscribe for more ChatGPT tutoria...

A conversational AI system that listens, learns, and challenges

Author documents how he went about building a 2.5D point-and-click style game using AI (Midjourney) to generate the game assets.

Gary Marcus expresses his concerns that current research on AI is no longer focused on building machines that solve problems in ways that have to do with human intelligence. But merely on using massive amounts of data – often derived from human behavior – as a substitute for intelligence.

Infinite AI Array is a Python library that provides a list implementation that leverages GPT so that you can access elements beyond the ones already provided.

Audience: I assume you heard of chatGPT, maybe played with it a little, and was imressed by it (or tried very hard not to be). And that you also heard that it is “a large language model”. And maybe that it “solved natural language understanding”. Here is a short personal perspective of my thoughts of this (and similar) models, and where we stand with respect to language understanding.

At this point, knowing what AI can’t do is more useful than knowing what it can