This data was originally featured in the June 28, 2023 newsletter found here: https://www.trustinsights.ai/blog/2023/06/inbox-insights-june-28-2023-monthly-reporting-part-4-common-crawl-in-ai/. In this week’s Data Diaries, let’s answer a very common question about large language models, one that folks ask nearly all the time: What are these models trained on? When we talk about training a large language model, everything from the […]
In this week’s In-Ear Insights, Katie and Chris discuss a thought-provoking question raised during a recent talk: Will AI Make Us Lazy and Stupid? Is there a genuine risk with the use of AI? Will it make us lazy and reduce the quality of our work? We explore the impact of AI on human behavior […]
Read More… from In-Ear Insights: Will AI Make Us Lazy and Stupid?
In this week’s In-Ear Insights, Katie and Chris answer the big question that people are afraid to ask for fear of looking silly: what IS a large language model? Learn what an LLM is, why LLMs like GPT-4 can do what they do, and how to use them best. Tune in to learn more! [podcastsponsor] […]
Read More… from In-Ear Insights: What Is A Large Language Model?
In this week’s In-Ear Insights, Katie and Chris talk through marketing mix modeling. What is marketing mix modeling? Why should we care about it? How does it work? You’ll learn the difference between marketing mix modeling (sometimes called media mix modeling) and attribution modeling. Tune in to find out more! [podcastsponsor] Watch the video here: […]
Read More… from In-Ear Insights: What is Marketing Mix Modeling?
In this week’s In-Ear Insights, Katie and Chris talk through a half dozen practical use cases of ChatGPT, why they work, and what you can do to make generative AI tools more useful and powerful in your own work. [podcastsponsor] Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the […]
Read More… from In-Ear Insights: Practical Use Cases of ChatGPT
In this week’s In-Ear Insights, Katie and Chris talk through how to improve your prompt engineering for large language models like ChatGPT, GPT-4, and other services through the use of the software development lifecycle. Learn how to apply the SDLC to your individual work with AI tools, and why it’s so important. [podcastsponsor] Watch the […]
In this episode, Katie and Chris discuss the evolution of SEO and where it’s going, where AI and machine learning fit in, and what trends to be aware of as you create content and optimize it for search in 2023. Tune in to learn more! [podcastsponsor] Watch the video here: Can’t see anything? Watch it […]
Read More… from {PODCAST} In-Ear Insights: Do I Need To Be an SEO Expert in 2023?
In this fireside chat with attorney Ruth Carter, we dig into how copyright law applies to content created by artificial intelligence. Who owns these fabulous works of art generated by systems and models like OpenAI’s DALL-E or Stability.ai’s Stable Diffusion? What about blog content created by tools like GoCharlie or Copy.ai? Watch the interview on […]
Read More… from AI and Copyright Law: How Copyright Applies to AI-Generated Content
In this week’s In-Ear Insights, Katie and Chris discuss whether AI and machine learning will imperil the career of the data scientist. What is data science, and how much of it can be automated and handled by machines? Tune in to find out. [podcastsponsor] Watch the video here: Can’t see anything? Watch it on YouTube […]
Read More… from {PODCAST} In-Ear Insights: Will AI Wipe Out Data Science Jobs?
In this episode, Katie and Chris discuss the different levels of complexity when it comes to AI and machine learning in marketing. What’s the difference between AI and data science, and when should you focus on one or the other? What cautionary tales should marketers understand before positioning a product as powered by AI? Do […]
Read More… from {PODCAST} In-Ear Insights: Simple and Complex AI in Marketing
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