Prompteneering. Open the library →

LoRA Fine-Tuning Recipe Generator

ML engineers adapting open-source LLMs (Llama, Mistral, Phi) to domain-specific tasks need to configure LoRA hyperparameters correctly without expensive ablation sweeps. This agent produces a tuned training recipe — rank, alpha, target modules, learning rate schedule — given a base model, dataset size, and task type.

• Best with Cursor
• AI Engineering & LLMOps
• LLM Fine-tuning & Evaluation

Open this agent in the library →

More LLM Fine-tuning & Evaluation agents

• Build a Continuous Evaluation DashboardLLM Fine-tuning & Evaluation · Claude Code
• Build a Continuous Evaluation Dashboard for Release Readiness Steady-State OptimizationLLM Fine-tuning & Evaluation · Claude
• Build a Golden Dataset for EvaluationLLM Fine-tuning & Evaluation · Claude Code
• Build a Golden Dataset for Evaluation for Incident Prevention Steady-State OptimizationLLM Fine-tuning & Evaluation · Zapier
• Build a Hallucination Detection EvalLLM Fine-tuning & Evaluation · Claude
• Build a Hallucination Detection Eval for Security Review Steady-State OptimizationLLM Fine-tuning & Evaluation · Weights & Biases
• Build a Regression Eval for Model UpgradesLLM Fine-tuning & Evaluation · Claude Code
• Build a Regression Eval for Model Upgrades for Migration Planning Migration SprintLLM Fine-tuning & Evaluation · Weights & Biases
• Build an LLM Evaluation HarnessLLM Fine-tuning & Evaluation · Claude Code
• Build an LLM Evaluation Harness for Cost Optimization Migration SprintLLM Fine-tuning & Evaluation · Claude
• DPO & RLHF Preference Data Pipeline EngineerLLM Fine-tuning & Evaluation · GitHub Copilot
• DPO & RLHF Preference Data Pipeline Engineer for Latency Reduction Pilot ValidationLLM Fine-tuning & Evaluation · Weights & Biases

All LLM Fine-tuning & Evaluation agents · All AI Engineering & LLMOps agents