Fine-tuning7 of 5703 tools
7 tools filed under Fine-tuning by what their own homepage shows, ranked by who uses them among those still maintained.
A tag is one of thirty-odd words from a closed list, chosen by the same reader from the same page as the line — never a keyword the vendor supplied.
Ranked by use
Fireworks AI
fireworks.aiRoutes requests to open or closed language models and trains specialized models on your data.
Soup CLI
trysoup.devConfigures and runs fine-tuning and alignment for large language models on consumer GPUs.
Custom AI for your business
lightningrod.aiTrains compact domain-specific models from your operational data without manual labeling.
BeginzaAI
beginza.co.ukTrains a private AI model on your device that learns from your documents and conversations without sending data to the cloud.
Adaption
adaptionlabs.aiBuilds AI systems that continuously learn and adapt to new data and use cases without retraining.
Ertas
ertas.aiFine-tune and deploy open-source language models on-device or in the cloud without machine learning expertise.
RPCS-1 Agent Tuner
rpcs1.devTunes language model behavior by adjusting response style parameters like tone, directness, and memory handling.
How we read a tool
No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.
- Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
- Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
- Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
- The line and the use cases are written by us from the homepage, one row at a time, and refused when they repeat the vendor's marketing.
How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.