Tag: AI

Google finally responds to the market pressures from Microsoft and OpenAI. In this episode we take a look at how their AI plans were unveiled during the Google I/O developer conference.

This short tutorial explains the training objectives used to develop ChatGPT, the new chatbot language model from OpenAI.

PaLM 2 is Google’s next-generation large language model that builds on its legacy of research in machine learning and responsible AI. Learn more about how it was built and how it’s powering generative AI features and tools at Google, like Bard and the PaLM API.

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