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Thomas Watkins
UX Architect | Data Viz Geek | Product Design Veteran
Thomas Watkins is a highly qualified professional with a diverse educational background and extensive experience in various organizations, specializing in human factors engineering, cognitive science, statistics, and psychology.
He holds master's degrees in Human Factors Engineering from George Mason University and Cognitive Science with an emphasis on Statistics from Louisiana State University, as well as a bachelor's degree in Psychology from Hampton University.
Thomas is the Principal and Founder of 3Leaf, a role that showcases his leadership and entrepreneurial skills.
Previously, he served as a Product Designer and User Experience Lead at RealTheory, showcasing his expertise in product design and user experience.
With experience as a User Experience Architect at SemanticBits, Management Controls, Inc., and Perficient, Thomas has a strong background in designing user-friendly interfaces and architecting user experience.
His role as a Data Visualization (DVUX) Designer at Publicis Sapient highlights his ability to create visually appealing and informative data representations.
Thomas also worked as a Product Designer at Knomatic, an Interaction Designer at PROS Pricing, and a Human Factors Engineering Contractor at NASA, further showcasing his versatility in various domains.
Highlights
🚀 In the latest episode of the Product Led Growth Leaders Podcast, Thomas Watkins sits down with Alex Bertram 🌏, the Growth Leader at First Mode, to dive deep into the fascinating world of technology integration in heavy industries.
Alex shares valuable insights on the importance of rigorous testing and careful implementation of new technologies in challenging environments, where safety, cost, volume, and sustainability are paramount. He also discusses how effective communication, storytelling, and visual aids play a crucial role in bridging the gap between business leaders and frontline workers.
Whether you're in tech or heavy industry, this episode is packed with lessons on overcoming challenges and seizing opportunities through innovation. Don't miss out—listen now and subscribe to stay updated on all our future episodes! 🎧
Learn more and tune in here: https://lnkd.in/grUEreTj
#ProductLedGrowthLeaders #TechInHeavyIndustry #Innovation #Sustainability #Leadership #Podcast #GrowthMarketing
"Compute plus the data has given rise to these large language models. These are the bread and butter of modern generative AI." - Ahmed Khan
In today's world, compute power combined with vast amounts of data has brought us to the era of large language models—the backbone of modern generative AI. These models, trained on data at an Internet scale, can understand and reason in ways that, while not perfectly human, are strikingly similar. Think of it as a superpower, enabling AI to respond to questions and prompts much like we do.
Take ChatGPT, for instance—it's built on a large language model known as GPT-4.0, which is essentially a deep learning neural network with a specific architecture, fine-tuned on a massive data set. But it doesn't stop there. Human trainers step in to refine its responses, guiding the AI to understand what's right and what's wrong, almost like teaching a toddler the ropes. This fine-tuning process is what makes these models so powerful and capable of delivering the remarkable results we see today.
Curious to learn more? 🎧 Dive into our latest podcast episode where we break down the mechanics of generative AI and explore how these incredible models are shaping our world. Listen and subscribe here: https://lnkd.in/grUEreTj
#ProductLedGrowthLeaders #GenerativeAI #ArtificialIntelligence #AIRevolution #DeepLearning #LanguageModels #TechInnovation #Podcast #SubscribeNow
