Prompt Dataset Builder
by Edric Vale
Build and curate high-quality prompt datasets for fine-tuning and eval — deduped and labeled.
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THE AGENSI STORE
4 skills found
by Edric Vale
Build and curate high-quality prompt datasets for fine-tuning and eval — deduped and labeled.
Produces a RAG system design, retrieval failure diagnosis, or institutional-memory schema — architecture decisions, hybrid search strategy, and a readiness checklist. Use when the user says "design our RAG system", "debug our retrieval accuracy", "fix RAG hallucinations", "choose a vector database", or "build an institutional memory schema". Do not use when the request is fine-tuning the base LLM itself.
by Lorky Rongai
Architects high-fidelity, multi-cloud synthetic datasets for LLM fine-tuning and security auditing.
by Edric Vale
Run post-training pipelines with the TRL library: supervised fine-tuning, reward modeling, DPO, and GRPO. Use when aligning a language model to follow instructi