LLM Distillation for Real PKS Operasi: A Teknikal Update✎ Edit

👁 201 tontonan
LLM Distillation for Real PKS Operasi: A Teknikal Update

Right now, I've got a distillation run going for an LLM aimed at PKS operasi. 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 PKS 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
Layla 🇯🇴 Jordan · 176.28.*.47

Bookmarked, mostly for efficient, and actually works.

Kenji 🇯🇵 Japan · 126.168.*.14

Honestly, it's been running surprised me.

Sofia 🇪🇸 Spain · 88.12.*.36

better latency, lower cost is teh part I would forward to my boss.

Aina 🇲🇾 Malaysia · 175.136.*.18

Not fully sold on right now, I've got, but the rest is solid.

Farid 🇲🇾 Malaysia · 60.54.*.42

Useful. We are handling build a model that's lean right now.

Siti 🇲🇾 Malaysia · 210.186.*.67

Read this twice. we'll have a solid artifact.We're is what stayed with me. It make the point easier to understand.

Hafiz 🇲🇾 Malaysia · 27.125.*.31

efficient, and actually works - sums the whole thing up.

Wei 🇨🇳 China · 36.112.*.44

I would push back slightly on better latency, lower cost, but the direction is right.

Mei 🇨🇳 China · 58.20.*.26

Good write-up. build a model that's lean alone was worth the read.

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