Building a successful AI solution isn’t just about picking the smartest model—it’s about picking the right tool for your specific problem.
Join AI Innovators of Greenville for a practical session on AI solution architecture.
We are moving beyond the hype to explore the full landscape of building AI products. Sometimes the answer is a massive LLM; sometimes it’s a specialized fine-tuned model; and sometimes, it’s a combination of both wrapped in solid engineering.
In this session, we will cover:
The Decision Matrix: A framework for choosing your stack based on Cost, Privacy, Latency, and Complexity.
The Full Spectrum of Tools:
- Foundation LLMs: When to use them (reasoning, creative writing, general tasks).
- Small Language Models (SLMs): When to host your own (specialized tasks, high-volume data, on-premise needs).
- Hybrid Architectures: How to combine powerful LLMs with efficient smaller models to get the best of both worlds.
- Build vs. Buy: Real-world advice on when to use an API and when to engineer a custom solution.
Case Studies:
We will walk through real scenarios—from document processing to custom image recognition—and break down why specific models were chosen to solve those specific problems.
Who is this for?
This meetup is for business leaders who want to understand the "how" behind the ROI, and developers/engineers looking to sharpen their architectural skills.
Agenda:
• 6:00 PM: Networking
• 6:30 PM: Talk: The AI Solution Architect’s Toolkit
• 7:15 PM: Open Floor: "Bring Your Problem" – Group brainstorming on specific member challenges
• 8:00 PM: Wrap up
📍 Location: Hughes Main Library, Meeting Room A, Greenville
📅 Date: December 8 @ 6pm
Come learn how to build solutions that don’t just work, but scale.
