This content was originally featured in the January 31, 2024 newsletter found here: INBOX INSIGHTS, JANUARY 31, 2024: NEW TECH DOESN’T SOLVE OLD PROBLEMS, FACT CHECKING DATA NEW TECHNOLOGY DOESN’T SOLVE OLD PROBLEMS New technology doesn’t solve old problems. It doesn’t. If anything, it exacerbates existing issues by adding complexity or masking underlying problems. If […]
This data was originally featured in the 1/24/2024 newsletter found here: INBOX INSIGHTS: MAKE GOOGLE ANALYTICS 4 WORK FOR YOU, RED TEAMING CUSTOM GPTS, PART 3 RED TEAMING CUSTOM GPTS, PART 3 OF 3 Continuing from last week’s newsletter in which we discussed the people, process, and platforms of red-teaming LLMs, let’s continue this week […]
In this early episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss generative AI business continuity, the recent drama at OpenAI and what it means for businesses relying on their AI services. We talk about the importance of having backup plans and avoiding putting all your eggs in one basket when it […]
Read More… from In-Ear Insights: Generative AI Business Continuity Planning
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss Custom GPT setup, the pros and cons of using AI chatbots like ChatGPT to automate content creation, and best practices for training them effectively, such as the TrustInsights.ai 5P framework and the SDLC. [podcastsponsor] Watch the video here: Can’t see anything? […]
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In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris provide a guide to generative AI for the C-Suite and discuss how CEOs should approach understanding and using large language models and AI, starting with identifying business problems first before considering technology solutions. [podcastsponsor] Watch the video here: Can’t see anything? Watch […]
Read More… from In-Ear Insights: The C-Suite Guide to Generative AI
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
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