On Wednesday this week, I had a chance to talk about how I use AI tools in my career as a product manager for Pex. (Special shout out to Vanderbilt and Aditya for giving me the opportunity!)
For those who missed it or want a comprehensive recap, here's an expanded summary of key points. You can also check out the full slides here.
What AI looks like now
- AI terminology engulfs the machine learning world, blurring lines between traditional ML and newer AI techniques
- Large Language Models (LLMs) dominate current usage among Product Managers
- Chatbot interfaces democratize advanced ML outputs, often available for free
- LLMs provide pre-trained foundations, reducing the need for massive datasets in machine learning applications
- Technical plateau reached with current LLM technology, signaling need for significant advancement
What AI may soon look like
- Many small AI startups face extinction or acquisition, especially those primarily offering LLM wrappers
- High-value, low-cost AI tools like Perplexity and ChatGPT will survive and thrive
- Big tech companies continue risky strategy of scaling up models
- AI hype decreases as opportunists move to next trend
- Research beyond LLMs gains momentum