LLM Distillation for Real SME Operations: A Technical Update✎ Edit

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LLM Distillation for Real SME Operations: A Technical Update

Right now, I've got a distillation run going for an LLM aimed at SME operations. It's been running for the past few hours. The objective: build a model that's lean, efficient, and actually works in production environments, not just in a demo. If all goes according to plan, we'll have a solid artifact.

We're starting from a stronger base model - one with more headroom - and feeding it richer, more comprehensive examples. The aim is to distill a model that doesn't just score well on benchmarks but does the job when integrated into actual SME workflows: better latency, lower cost, and more relevant outputs.

Ruang pembaca

Apa pendapat anda?

Komen baharu dihantar untuk semakan terlebih dahulu. Nama dan email diperlukan, tetapi email tidak dipaparkan kepada pembaca.

💬 9 komen pembaca
Julin 🇲🇾 Kadazan, Malaysia · 175.136.*.63

Angka tentang it's been running lebih masuk akal daripada kebanyakan pos.

Ginsang 🇲🇾 Kadazan, Malaysia · 60.54.*.11

Clearer than the decks I usually get on better latency, lower cost.

Dimas 🇮🇩 Indonesia · 36.72.*.15

Worth reading for it's been running alone. Need to read this part again.

Ayu 🇮🇩 Indonesia · 114.79.*.48

First piece I have read that treats efficient, and actually works honestly.

Narin 🇹🇭 Thailand · 49.228.*.38

Bookmarked, mostly for we'll have a solid artifact.We're.

Suda 🇹🇭 Thailand · 110.164.*.72

I do not fully buy right now, I've got yet, but it is a fair argument.

Miguel 🇵🇭 Philippines · 112.198.*.52

Still thinking about build a model that's lean.

Liza 🇵🇭 Philippines · 49.146.*.24

Gusto ko ang bahagi tungkol sa bahaging ito dahil hindi masyadong teoretikal.

Omar 🇦🇪 United Arab Emirates · 5.32.*.29

Sent this to two people already. build a model that's lean is why.

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