Are LLMs living up to the hype, or are they failing to deliver?
In this episode of Experts in Polo Shirts, we examine the real-world impact of large language models (LLMs) beyond the marketing promises. From Google Gemini’s rocky launch to businesses struggling with AI adoption, we explore the pitfalls, misconceptions, and challenges facing LLMs today.
Key Topics:
- Is Big Tech too big to innovate?
- Why some AI chatbots are easily manipulated, and how it’s costing businesses.
- How LLMs learn from your data, and what that means for privacy.
- Can small businesses run their own LLMs, or is it only for tech giants?
- The hidden biases in OpenAI, and what it means for AI fairness.
With LLMs moving from hype to hands-on reality, this episode is essential viewing for business leaders, AI professionals, and anyone curious about the future of AI-driven technology.
What do you think? Are LLMs failing, or is this just part of the innovation cycle? Let us know in the comments.
#LLMs #ArtificialIntelligence #AI #MachineLearning #TechInnovation #BigTech #OpenAI #GoogleGemini #AIChatbots #AIethics
Chapters:
00:00 – Introduction: from Aircraft Engineer to Integration Developer
05:50 What companies should be doing with LLMs
14:19 Business advantages and limitations of LLMs
18:07 The core principles of LLMs employees need to know
22:15 Pitfalls for companies using LLMs
25:45 Open AI using your Personal Data
29:20 Experiment with LLMs - but be careful, they're learning about you too
33:25 How do LLMs compare on cost?
45:46 Advice to Small Businesses Adopting AI
48:42 LLMs are Adapting to Please Us
52:17 Automation with Voice Recognition and Human Validation
58:10 Eroding Trust, AI Clones Are Now Producing Content
1:01:32 What’s next for AI? Possibilities beyond LLMs
1:05:39 Where do LLMs go from here?
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