Everyone’s throwing around “AI” like it’s some kind of magic spell that’ll fix everything. The biggest thing to hit since the internet. But what’s actually happening beneath the surface?
What’s real, what’s investor hype, and where is this all heading?
In this conversation, we break down the different approaches to AI, how it’s being evaluated, and the key differences between startups pushing AI innovation vs. incumbents trying to keep up.
If you’re tired of the same recycled takes on AI, this one’s for you.
When to fine-tune vs. use RAG (spoiler: static data? Fine-tune. Dynamic? RAG.)
Why legal tech & drug discovery demand hybrid AI systems
The eval problem: Why AI products need continuous evaluation (unlike traditional software)
Startups vs. incumbents: Who’s winning the AI race? (Hint: It’s not zero-sum, but domain expertise wins.)
Plus: Real-world examples (Stella AI, Audit AI, FastTrackr AI and more) and why business model innovation matters as much as tech.
Watch now to learn how to build, evaluate, and scale AI products - whether you’re a founder, CTO, or builder.
Connect:
Kushal Prakash: https://www.linkedin.com/in/kushal-prakash
Amit Kumar: https://www.linkedin.com/in/amitpayments
gAI Ventures: https://gai.ventures/
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#AI #LLMs #Founders #CTO #PromptEngineering #FineTuning #RAG #Startups #BigTech #AIBusinessModels
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