Trinity‑RFT: Fine‑Tune LLMs with Scalable Reinforcement Learning
From the repo · “Trinity-RFT is a general-purpose, flexible and scalable framework designed for reinforcement fine-tuning (RFT) of large language models (LLM).”
You fine-tune large language models for AI agents using a flexible and scalable framework.
"A founder wants to create a chatbot that can answer frequently asked questions on their e-commerce website. They fine-tune an LLM using Trinity-RFT and then integrate it into their site using a webhook. The chatbot can respond to customer inquiries in under 5 seconds, improving customer satisfaction."
- •When you need to adapt a pre-trained language model to a specific task or domain
- •When you want to improve the performance of a language model on a particular dataset or metric
- •When you need to integrate reinforcement learning with other AI techniques, such as supervised or unsupervised learning
python train.py --config config.json --model-name 't5-base' --dataset 'wikitext-103' --reward 'bleu'
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/trinity-rft && curl -fsSL https://workflowstacks.com/api/skills/trinity-rft/claude-skill -o ~/.claude/skills/trinity-rft/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
What's inside — free to inspect
Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/trinity-rft && curl -fsSL https://workflowstacks.com/api/skills/trinity-rft/claude-skill -o ~/.claude/skills/trinity-rft/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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AI Support Agent (Chat)
A chat agent that answers customer questions from YOUR business info — with conversation memory. It never invents policies; anything it doesn't know, it hands to a human.
Outcome guideScore your leads by ideal-customer fit
You describe your ideal customer once and keep leads in a Google Sheet. The workflow scores each 1–5 for fit with a one-line reason, so you sort and work the best first.
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