Tag: AI

Jacob Ward reports on how the invisible power structures we are assembling, by accident and on purpose, have the potential to change not just individual lives but the very future of humanity.

Sam Altman, CEO of OpenAI the company behind ChatGPT, told lawmakers they should create licensing and safety standards for advanced artificial intelligence systems. But Congress has historically had a tough time when it comes to regulating technology.

WSJ tech policy reporter Ryan Tracy joins host Zoe Thomas to discuss what happened during the Senate subcommittee hearing.

What is really the difference between Artificial intelligence (AI) and machine learning (ML)? Are they actually the same thing? In this video, Jeff Crume explains the differences and relationship between AI & ML, as well as how related topics like Deep Learning (DL) and other types and properties of each.

The Raspberry Pi is a small, single-board computer that is often used for educational and hobbyist projects. However, it is not typically considered to be a powerful computer. This video demonstrates combining Raspberry Pi with Google Coral, which is an edge AI platform that provides hardware, software, and pre-trained models to help developers build intelligent devices that can run machine learning models locally.

The video discusses how ChatGPT works technically, and its architecture. ChatGPT is a large language model, also known as a conversational AI or chatbot trained to be informative and comprehensive. It is trained on a massive amount of text data, and is able to communicate and generate human-like text in response to a wide range of prompts and questions.

ChatGPT uses a neural network architecture, which is a type of machine learning model that is able to learn from data and make predictions. The neural network is trained on a massive dataset of text and code, and is able to generate text that is grammatically correct and semantically similar to the text it was trained on.

The video also discusses the challenges of training a large language model, such as the need for a massive amount of data, the computational resources required, and the potential for bias.

In this video, I break down some of my favorite prompts with ChatGPT

In this video, I will not only show you how to get smarter results from GPT 4 yourself, I will also showcase SmartGPT, a system which I believe, with evidence, might help beat MMLU state of the art benchmarks.

This should serve as your ultimate guide for boosting the automatic technical performance of GPT 4, without even needing few shot exemplars.

The video will cover papers published in the last 72 hours, like Automatically Discovered Chain of Thought, which beats even ‘Let’s think Step by Step’ and the approach that combines it all.

Yes, the video also touches on the OpenAI DeepLearning Prompt Engineering Course but the highlights come more from my own experiments using the MMLU benchmark, and drawing upon insights from the recent Boosting Theory of Mind, and Let’s Work This Out Step By Step, and combining it with Reflexion and Dialogue Enabled Resolving Agents.

Watch as we delve into an in-depth comparison of Bing Chat, Bard AI, and ChatGPT, exploring their capabilities, strengths, and weaknesses in the ever-evolving world of AI-powered conversation.