sujee.dev

sujee.dev

@sujee.dev

Developer Advocate @ Nebius | ML/Data Engineer | Open Source contributor | Technical Instructor | Author | Speaker https://sujee.dev/

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Friday fun! 🎨🤖 I built Doodle Derby - where 3 vision models compete to recognize doodles as they're being drawn in real time! @MiniMax_AI M3.1-Flash @deepseek_ai V4.1-Flash-1017 @NVIDIAAI Nemotron-3.5-Super-VL All running on Nebius TF Who won? And what were the models thinking? 👀 Watch 👇

And the results are in! 🏆 It's a tie! 🎉 The second image is my favorite - a peek into what the models were guessing along the way. Some of those guesses are hilarious 😂

What actually happens when you send a request to an LLM? Client → Gateway → tokenizer → router → queue → prefill → decode → streamed back to you, one token at a time. I'm tracing the whole trip tomorrow at Hacktoberfest 2026. ⚡ Thu, Oct 22 online @ 10am PT / 1pm ET dev.to/events/hackt...

Friday fun 🎉 The Nemotron family (Super, Lightning, Ultra) went to the carnival… and raced horses 🎪🏇 One of them is a total sprinter. Guess who? 👀 Race your own models 👉 sujee.github.io/llm-derby

Friday fun! LLM Derby 🏇 puts models head-to-head on the same questions. Every correct answer moves a horse forward. First to 20 wins. This race: 🏇 Qwen3.8-27B 🏇 gpt-6-astra 🏇 claude-sonnet-5-5 Who won? Watch the video 👇 Try the game: sujee.github.io/llm-derby/ Just a fun game, not a benchmark 😄

35 years ago today, Linux 0.02 was released 🐧 I've been using Linux for ~31 of those years. 1995: recompiling kernels to get new hardware working. 2026: Linux Mint + NVIDIA GPU, running LLMs locally. I made this little visual history of Linux 👇 What’s your favorite Linux memory?

Quick demo showing the vision capabilities of Qwen 3.8-27B 👇 I gave it a crinkled, scanned-looking document containing PII. It extracted the text, analyzed the document, and identified the PII ✅ This little model is a beast 😄 And it was ticking along at 272 tok/sec on @nebiustf 🚀

Here’s the crinkled/scanned-looking document image (generated!) I fed into the model 👇 Not exactly a clean input - which makes the result even more fun.

Friday funsies 🐍 LLM Snake Arena: GPT-6-Astra vs Claude Opus 5.5 Does it tell us something about the models? Maybe. Fun to watch? Most definitely 😀

Artificial Analysis just updated its Intelligence Index to v4.3 with a tougher benchmark suite. Scores dropped quite a bit. Top proprietary models now: - Claude Fable 5.1: 53 = 66 → 53 = ▼ 13 - GPT-6 Astra: 53 = 61 → 53 = ▼ 8

Top open models now: 1. GLM-5.3: 45 2. Kimi K3: 44 (60 → 44 = ▼ 16) 3. GLM-5.3-Flash: 42 (57 → 42 = ▼ 15 ) Big score shifts, but the important thing is the relative ranking under the new benchmark suite.

Fine-tuning, distillation, and quantization are easy to blur together. Here is an explainer video with LEGO® bricks 🧱 🟢 Fine-tune = specialize 🟠 Distill = teach a student 🟡 Quantize = use lower precision More detail: sujee.dev/post/fine-tu... drop your suggestions in comments

I am doing quick hands-on workshop on ClawCamp SF Summer Summit tomorrow! 🦞 “Coding with Open Models + Coding Agents” Want to try Kimi K3, GLM 5.2 and other open models? Bring your laptop 💻 We’ll provide Token Factory credits so you can try them with your coding agent. luma.com/clawcamp-sf-...

luma.com🦞 ClawCamp SF Summer Summit 🦞 · LumaNEW VENUE: Ecosystem Coworking 540 Howard St 2nd floor, San Francisco, CA 94105 Join us to Up-Level Your Agentic AI Superpowers. All Levels Welcome. This…

Kimi K3 was one of the most anticipated open models. Join the Kimi + Nebius Token Factory teams on Aug 12: 🏗️ K3 architecture + capabilities ⚡ Inference engineering + optimizations 🎁 Token Factory credits to try K3 yourself 9 AM PT / 12 PM ET / 6 PM CET 👉 nebius.com/events/webin...

Nebius Token Factory @nebiustf Office Hour #3 Recap: We covered new models and features, inference optimizations, fine-tuning, the Builder and Fellow programs, plus live Q&A. recording + slides in comment 👇 See you at the August office hour: nebius.com/events/webin...

Building with open models? Join us for Nebius Token Factory Office Hour - a live, developer-focused session featuring demos and Q&A 🗓️ July 22, 2026 ⏰ 9 AM PT / 12 PM ET You’ll also receive Token Factory credits, so you can start building right away. See you there! nebius.com/events/webin...

Nebius booths are never boring. Meet NEBU - our Nebius pup 🐶 - making a new friend 🐉 Stop by the Nebius booth at AI Engineer World Fair. You can play with the robots... and chat with the humans, too. 😄

Come by the Nebius booth at AI Engineer conf! We’ve got fun demos: LLMs playing Snake 🐍, LLMs playing soccer/fútbol ⚽️ Demo below 👇 We’ll also show you our open-model coding stack - GLM 5.2 and Kimi K2.6 are our current faves. Plus, we’ll set you up with Token Factory credits 🎁

I’m running a workshop at ClawCamp Campout @ Dual Tech Summit! We’ll add real-time intelligence to OpenClaw using Nebius Token Factory + Tavily 🗓️ Wed, June 24, 2026 📍 War Memorial Veterans Building, SF 👉 clawcamp.us/event/260624... 🎁 Free Token Factory + Tavily credits . See you there!

(another car wash post) Q: I want to wash my car. The car wash is 50 meters away. Should I walk or drive? Kimi K2.5: (thought 52 secs) : Drive the 50 meters, but maybe take the long way around the block to let the engine warm up slightly ...

GLM 4.7 (thought 42 secs): If your car has a manual transmission (stick shift) and the road is flat, you might choose to **push** the car to save fuel and avoid the wear of starting the engine just for a 50-meter drive ... (see image for full answer) sometimes the models do overthink :-)

Kimi 2.5 from @kimi-moonshot-x.bsky.social is now live on Nebius Token Factory. A major step up from Kimi 2, this os multimodal model is strong in agentic workflows and coding tasks - and it’s stacking up well against SOTA proprietary models. Check out the official benchmarks and the pelican 🪿🚲

MiniMax M2.1 from MiniMax is now live on Nebius Token Factory. strong showing for coding, agentic workflows It’s also ranked among the **top open models** by Artificial Analysis And yes… it passes my favorite vibe benchmark too: “pelican riding a bicycle” 🪿🚲 - look at that beak 😄