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Contra - A professional network for the jobs and skills of the futureGoogle has introduced TurboQuant. Here’s what actually matters 👇 📊 Key data: up to 8x faster up...

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Alessandro Federici

pro

• Mar 29

Google has introduced TurboQuant.

Here’s what actually matters 👇

📊 Key data:

up to 8x faster

up to 6x less memory usage (KV cache)

no accuracy loss

compression down to 3-bit

🧠 What this means in practice:

handle longer context windows

lower inference costs

better performance on RAG and retrieval

run larger models on the same hardware

⚙️ Important: no retraining, no model changes → this is an inference-level optimization.

👉 Real impact: same capabilities, fewer resources, more scalability.

If you’re building AI agents or data pipelines, this is worth paying attention to.

ai automation machinelearning

Yamini Khullar

• Apr 10

I built a one-click AI technique that turns moodboards into a production-ready 2x2 campaign grid. It analyses and directs like a creative director would. Built this on @FLORA The required inputs: → 4 visual references → 1 model + outfit It normally takes messy workflows and constant tweaking to get one usable direction. So I built a system that streamlines everything into a clean, one-click output. So I built a system that does. This FLORA technique converts references into a structured 2x2 campaign grid - keeping the same model and outfit, while exploring multiple visual directions that you can pick from. It’s how I move from inspiration → execution instantly.

App link: https://app.flora.ai/techniques/moodboard-to-2x2-campaign-grid