I fine-tuned an LLM to clean up transcriptions for my voice-to-text app
I built a voice-to-text app, WhisperNow . But there are a thousand and one WisprFlow clones out there, so I went further and fine-tuned my own LLMs for the cleanup step. They remove fillers, false starts, self-corrections, and formats lists, all locally. To finetune an LLM for this task, I first ha…
Read the full story at r/LocalLLaMA ↗
Timeline · 1 report
- 2026-10-28 15:28 · r/LocalLLaMA
I fine-tuned an LLM to clean up transcriptions for my voice-to-text app
More stories
- Gemini 4 Carbon: Our next frontier model — Google DeepMind Blog
- Anthropic reveals plans for blockbuster IPO — Sky News Technology
- CoreWeave Builds the First Global Backbone Network Purpose-Built for AI — CoreWeave Blog
- PyTorch 2.15 Release Blog — PyTorch Blog
- Startups, Did You Know That Agentforce Coworker Can Do This? — Salesforce AI Blog
- Building an Agentic AI Platform on Amazon Bedrock AgentCore — AWS Machine Learning Blog
- Distributed training with Ray Train DLCs and EFA on EKS — AWS Machine Learning Blog
- Google AI gets cagey when asked who won the 2020 elections — Ars Technica AI
Get the daily brief of stories like this at 6:30 every morning →