Episode 10: Tim Leers | LLMs are not magic: Finding ways to make AI generate trustworthy content
Can we rely on LLMs to repurpose our content in social media?
To end our first season of the AI and Digital Transformation Podcast, we talked to dataroots R&D engineer Tim Leers about two very popular topics in 2023: LLMs, and content creation.
In this age of content creation and social media, journalists now have an extra role to fill: sharing their work and the news using their social media accounts. Given the popular use of ChatGPT and Midjourney, people ask LLMs to repurpose their news content for social media purposes.
This comes with a price. By relying solely on AI, journalists, like content creators, risk sharing repurposed content that are biased, polarizing and misinformed.
Listen to this episode and learn how you can make LLM more trustworthy when repurposing your existing content.
Who is Tim Leers?
Tim started his AI journey in neuroscience and psychology, studying the parallels between human & machine minds.
Four years ago, he shifted his focus from brains to bytes, joining dataroots as an AI engineer, a leading company in AI and data-driven solutions. In this role, he assists organizations in the research, development, and deployment of cutting-edge AI systems.
Tim is now primarily focused on how to effectively and responsibly utilize generative AI, agents, and LLMs, and advise decision-makers, engineers and end-users on how to navigate the expanding role of AI in work, life, and society.
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Music credits: storyblocks.com
Logo credits: Joshua Coleman, Unsplash
Where to find Tim Leers:
AI and Digital Transformation Podcast -Finding ways to make AI generate trustworthy content using LLMs with Time Leers
Show Notes:
GitHub - Tim’s code, mostly related to AI / LLMs. Only "popular code" for now is a basic design pattern for LLM APIs that he still frequently shares with engineers as a starting point to understand how simple it is to start prototyping new LLM applications.
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