GeekyAnts

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GeekyAnts

GeekyAnts

@geekyants

Design & Engineering Studio • Pioneering AI Solutions • Impactful Design • Scalable Architecture • Driving open-source Innovation SF • Bangalore • London

Katılım Eylül 2015
98 Takip Edilen6K Takipçiler
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GeekyAnts
GeekyAnts@geekyants·
@thegeekconf: AI Leader's Summit 2025 happened on December 13th. The conversations in that room hit different. We are grateful to everyone who showed up, and brought their perspectives. Stay tuned as we will be sharing all the insights! 🙌 #GeekyAnts #thegeekconf
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GeekyAnts@geekyants·
The best enterprise stacks in 2026 use all three. RAG for truth. Fine-tuning for form. Agents for execution. Read the full breakdown here: 🔗geekyants.com/blog/rag-vs-fi…
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GeekyAnts@geekyants·
AI Agents don't just respond. They execute. Multi-step workflows, API calls, real task completion.
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GeekyAnts@geekyants·
Wrong AI architecture = wasted budget and broken trust. RAG, Fine-Tuning, or AI Agents — here's how to pick the right one.
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GeekyAnts@geekyants·
Evaluation Frameworks. You can't scale what you can't measure. Use automated "Evals" to ensure accuracy stays high as your data grows.
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GeekyAnts@geekyants·
Building an AI MVP? If you don’t architect for scale now, you’ll be refactoring everything in 6 months. 🧵
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GeekyAnts@geekyants·
Cost Spikes. Unmanaged tokens eat margins. We use prompt engineering and caching to keep production costs predictable.
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GeekyAnts@geekyants·
Most AI MVPs never make it to production. They get stuck in the "Pilot Trap"—working in a lab but failing in the wild.
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GeekyAnts@geekyants·
Demand Transparency. If they can't explain their AI Risk Framework or how they handle data privacy, they aren't ready for Enterprise.
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GeekyAnts@geekyants·
Picking an AI partner? Don’t get blinded by a flashy demo. Enterprise-grade delivery requires more than just calling an API.
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