别老想着用最大的模型。用Gemma 4或Qwen 3.5免费微调一下，就比Claude还好用，还不用花钱，数据还安全。
微调一个免费的开源本地AI模型，在特定任务上可以超越Claude和OpenAI的通用模型。一个针对你数据微调的小语言模型（SLM）性能胜过Anthropic和OpenAI的通用大模型。基座推荐使用Gemma 4或Qwen 3.5/3.6，通过Unsloth Studio进行微调。优势包括：输出不再泛泛、敏感数据不上云、无使用计费、无API费用、无用量限制、可离线运行、系统集成更可靠。
You should start fine-tuning your own models. For real. You can get better answers with a free ope...
You should start fine-tuning your own models. For real. You can get better answers with a free open-source local AI model than with Claude All you have to do is fine-tune it for YOUR tasks For many workflows a SLM trained on your specific data can outperform the "general" models from Anthropic or OpenAI. Among other reasons: > the model stops giving generic responses > your sensitive work never touches the cloud > no usage-based billing > no expensive API calls > no usage limits > works perfectly even offline > more reliable inside your actual systems You don’t always need the biggest model. You need the right one tailor-made for your task. And sometimes the right model is small, local, private, fast, and trained specifically FOR YOU. Gemma 4 or Qwen 3.5/3.6 are amazing as a base. Just fine-tune them using unsloth studio. 💬 7 🔄 3 ❤️ 11 👀 2640 📊 10 ⚡