 | 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
We asked 200 ChatGPT users their biggest frustration. All top 5 answers are problems ChatGPT Toolbox solves.
Reddit r/artificial
I Built an AI That Reviews Every PR for Security Bugs — Here's How (2026)
Dev.to
[R] Combining Identity Anchors + Permission Hierarchies achieves 100% refusal in abliterated LLMs — system prompt only, no fine-tuning
Reddit r/MachineLearning
How I Built an AI SDR Agent That Finds Leads and Writes Personalized Cold Emails
Dev.to
Complete Guide: How To Make Money With Ai
Dev.to
