 | https://github.com/wrtnlabs/autobe/blob/main/website/seminars/qwen-meetup-korea/draft.md I was honored to be invited by Qwen to give a presentation at their Korea Meetup next week. The draft below is the written version — slides aren't made yet. Would love some feedback from this community before I turn this into a deck and get on stage. Would especially appreciate feedback on: - Does the story flow naturally? - Anything hard to understand from a developer's perspective? - Anything missing or worth expanding? - Anything you'd want to know more about as a local LLM user? - Any other thoughts welcome! Appreciate any thoughts! [link] [comments] |
Got invited to present at Qwen Korea Meetup, would appreciate feedback on the draft (raised function calling success rate from 6.75% to 100% in qwen3-coder-next model)
Reddit r/LocalLLaMA / 3/16/2026
💬 OpinionTools & Practical UsageModels & Research
Key Points
- The author was invited to present at Qwen Korea Meetup and has prepared a written draft for the talk.
- They report a dramatic improvement in function calling success rate from 6.75% to 100% using the qwen3-coder-next model.
- They are seeking community feedback on the narrative flow, developer clarity, missing content, and topics of interest for local LLM users.
- The draft is hosted on GitHub and the plan is to turn it into slides before the event next week.
Related Articles
Astral to Join OpenAI
Dev.to
I Built a MITM Proxy to See What Claude Code Actually Sends to Anthropic
Dev.to
Your AI coding agent is installing vulnerable packages. I built the fix.
Dev.to
ChatGPT Prompt Engineering for Freelancers: Unlocking Efficient Client Communication
Dev.to
PearlOS. We gave swarm intelligence a local desktop environment and code control to self-evolve. Has been pretty incredible to see so far. Open source and free if you want your own.
Reddit r/LocalLLaMA
