How Orchestrated AI Is Beating the Big Models

Описание: Most people still think of AI as one giant model.
Like a huge brain that can do anything. But the best AI systems today don't work like that, especially not in law, healthcare, finance, and insurance, where trust and accuracy matter.

In this video, we explore why orchestrated AI systems are outperforming massive models in the real world — combining specialised LLMs, retrieval tools (RAG), verification loops, and vision-language models (VLMs) to deliver high-trust, domain-specific performance.

You'll learn:

Why “one big model” thinking fails in regulated industries
What orchestrated AI actually looks like
Real-world examples: Harvey AI, AlphaSense, Butterfly Network, UnderwriteMe
The critical role of VLMs in document-heavy domains
What’s working (and what still isn’t) in production

🔍 If you work in AI, law, finance, or enterprise tech — this is your roadmap to the architectures that are winning right now.

📌 Don’t forget to like 👍, comment 💬, and subscribe 🔔 — we post regular breakdowns of where AI is actually working in the real world.

Chapters:
00:00 - One of AI's big misconceptions
00:50 - Intro Ident
01:10 - Why 'one big model' isn't enough
02:17 - What does orchestrated AI look like in practice?
04:10 - Law: Harvey AI
04:50 - Finance: AlphaSense
05:12 - Healthcare: Butterfly Network
05:42 - Insurance: UnderwriteMe
06:15 - VLMs - the other piece of the puzzle
06:55 - Like, comment, subscribe
07:06 - What's working and what's not?
07:47 - What's the takeaway?

Check Out Our Other Videos:

📌 Other Tech Insights:    • Is Apple LOSING the AI Race?!  

📌 Watch next:    • How AI Will Change Humanity Forever - AGI ...  

L E T ' S C O N N E C T !

LinkedIn:   / rikin-patel-impact  
YouTube Subscribe:
   / @impact-it  

#AIarchitecture #HarveyAI #RAG #VisionLanguageModels #EnterpriseAI #LLM #LegalAI #FinanceAI #OrchestratedAI