LLM Fine Tuning Services

Prompt engineering adjusts inputs to guide a pre-trained model while fine-tuning customizes the model itself using your data. LLM models, when fine-tuned, provide more coherent and contextually aware responses and better performance in business use cases than generic models alone.

Fine-tuning large language models improves accuracy, decreases errors, increases domain specificity, and focuses task performance. It also helps ensure that the model aligns with your brand tone, workflows, and regulatory standards— to maximize ROI from your AI investment.

The time required to fine-tune an LLM varies based on model size, data complexity, and use case. The complete process, including data preparation, model training, testing, and deployment, typically takes between 2 to 6 weeks per project. Jellyfish Technologies ensures timely delivery with precision.

Prices vary based on model size, quantity, and quality of training data, infrastructure requirements, and project complexity. Jellyfish Technologies provides scalable LLM fine tuning services with clear pricing that engages your business goals and technical needs.

Yes, we specialize in fine-tuning a wide range of models, including GPT, BERT, and LLaMA. We align them with your data and business goals, bringing you LLM customization for high-performance applications across all industries.

Effective fine-tuning requires high-quality, domain-relevant data—chat logs, emails, documents, or structured text. The better and more relevant the data with proper labels is, the better your fine-tuned LLM will perform on tasks in the real world.

We practice data governance, including encryption, anonymization, and access controls. With Jellyfish Technologies, you can be assured that the proprietary data utilized in LLM fine-tuning is handled securely and remains fully compliant with enterprise privacy standards.

LLM fine-tuning is valuable for businesses of all sizes. Whether you're a startup or an enterprise, a fine-tuned model offers greater precision, automation, and superior customer and operational experiences. At Jellyfish Technologies, we offer flexible models to fit your scale.

No, you don’t need an in-house team. Jellyfish Technologies offers end-to-end support—from model development and deployment to monitoring and updates—ensuring your fine-tuned LLM runs seamlessly without the need for deep internal AI expertise.