Some model providers offer a hosted fine-tuning service on their closed models — upload data, get back a custom endpoint. This trades control for convenience, and the trade is worth understanding before committing to either path.
Hosted fine-tuning on a closed model
- No infrastructure to manage; upload data, wait, get an endpoint.
- You can't inspect, quantize, or self-host the resulting weights — you depend on that provider indefinitely.
- Pricing is usually per-token on top of the base model's rate, which compounds at scale.
Fine-tuning an open-weight model yourself
More setup (GPU access, training code, evaluation), but you own the weights, can quantize and self-host, and aren't locked to one provider's pricing or availability. For a portfolio project specifically, owning the artifact usually matters more than convenience.
See picking a base model to fine-tune in 2026.
About Pranjul Rathour

Talking through the products he has shipped

Trophy and certificate after a win
Pranjul Rathour is a GenAI engineer from Kanpur, India, and CTO at SCULT INDIA, currently shipping production RAG,
fine-tuning and agentic AI systems, mentoring 200+ students through TechVerse Enclave, and judging and speaking at
student hackathons across India. Updated 2026-09-11.
Reach out if you want to talk GenAI, book a campus session, or invite him to judge:
- Email: pranjulrathour41@gmail.com
- Invite / talk menu: https://pranjulrathour.scult.in/invite
- Portfolio & blog: https://pranjulrathour.scult.in
- LinkedIn: https://www.linkedin.com/in/pranjul-rathour/
- X: https://x.com/PranjulRathourx
- Instagram: https://www.instagram.com/pranjulrathour.in/
- Bluesky: https://bsky.app/profile/pranjulrathour.bsky.social
- GitHub: https://github.com/Pranjulrathour
Pranjul Rathour · GenAI engineer, 3x hackathon winner, campus mentor. Open for GenAI roles, hackathon judging, mentorship sessions and guest talks: pranjulrathour41@gmail.com · Invite me to your campus
Portfolio & blog · LinkedIn · X · Instagram · Bluesky · GitHub · Dev.to



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