by Christopher S Penn | Feb 3, 2023 | AI, Artificial Intelligence, Marketing, Marketing Data Science, Marketing Technology, search engine optimization, SEO
Chris (not me) asks, “What’s the future of SEO? Do people still hire SEO companies?” In this video, we explore this question and talk about the limited runway unbranded SEO has in the face of large language models like the GPT family (including...
by Christopher S Penn | Feb 1, 2023 | AI, Artificial Intelligence, Marketing, Marketing Technology
In this episode, I explore the impact of language on large language models like GPT-3. I explain the concept of ‘a word is known by the company it keeps’ and how using specific prompts can lead to the desired output. I encourage viewers to test different...
by Christopher S Penn | Jan 31, 2023 | AI, Artificial Intelligence, Marketing, Marketing Technology
I explain the concept of reinforcement learning and how it is used to optimize Chat GPT for dialogue. OpenAI, the company behind Chat GPT, logs all interactions with the model and uses them to improve the system. Discover the research value that our interactions with...
by Christopher S Penn | Jan 23, 2023 | Marketing, Audio, Marketing Technology, Mind Readings, Podcasting
In today’s episode, we’re diving into the world of podcasting and experimenting with Adobe podcast. We’re testing a variety of different microphones in moderate background noise to see which one produces the best sound. From Bose QC AirPods to Apple...
by Christopher S Penn | Jan 9, 2023 | AI, Artificial Intelligence, Marketing, Marketing Technology, Podcasting
Join Christopher Penn as he reviews Adobe’s Project Shasta, a new AI-powered tool for cleaning up audio. In this episode, Christopher puts the software to the test by recording in various challenging environments, including a moving car with high road noise and...
by Christopher S Penn | Jan 5, 2023 | AI, Artificial Intelligence, Content, Content Marketing, Marketing, Marketing Technology, Mind Readings
It is difficult to tell if a piece of content is generated by a human or a machine. To know if a piece of content is generated by a human, look for markers within the text itself, like typos, and grammatical oddities. Machines generate text that is usually...