57 Tokens Per Second. 200 Billion Parameters. Zero Limits.
DahReply’s high-capacity AI infrastructure is built for next-level fine-tuning, delivering unmatched processing speed and model scalability.
LLM Fine Tuning Service
Flawlessly Improve AI Response Accuracy by 90%
Fine Tune LLM to Your Industry
With DahReply’s LLM fine-tuning, you can take a generic large language (LLM) model and refine it using your proprietary data, industry knowledge, and workflows—making it more accurate, efficient, and relevant to your needs.
More Reliable and Consistent Outputs
Get responses trained on your business knowledge, reducing irrelevant answers and AI hallucinations by up to 50%.
Handle Industry-Specific Jargon
We train LLMs for industry-specific tasks, such as legal document processing, medical diagnostics, and financial forecasting—giving you AI that speaks your language.
Full Control and Security
All fine-tuned models are deployed securely in our in-house self-hosted or private cloud environment, maintaining full compliance and data protection standards.
Increase Efficiency and Reduce Costs
Fine-tuning builds on pre-trained models, meaning lower training costs, faster deployment, and higher efficiency compared to developing an AI model from scratch.
More Reliable and Consistent Outputs
Handle Industry-Specific Jargon
Full Control and Security
Increase Efficiency and Reduce Costs
Generic LLMs vs Fine-Tuned LLM
Inaccurate responses that leads to misinformation
Limited customisation
No industry adaptation
Shared cloud-based, increases data exposure.
Requires constant manual input, slows down decision-making and waste resources
Highly accurate responses, context-aware
Fully trained on your data
Understands industry jargon and needs
Private and secure deployment
Automates workflows, reducing costs
Customised for
Your Stack
More Accurate. More Relevant. More Powerful.
Only with Dah Reply.
Data Labeling
Data Labeling
Fine-tuning starts with high-quality, domain-specific labeled data. We help you prepare, structure, and optimise datasets to ensure your AI model learns from the right information—improving accuracy and reducing errors.
Model Selection
Model Selection
Not all AI models are the same. We guide you in choosing the best model—whether a custom-built LLM or a pre-trained foundation—so that fine-tuning focuses on the tasks that matter most to your business, like text generation, classification, or document analysis.
Fine-Tuning Strategy and Hyperparameter Optimisation
Fine-Tuning Strategy and Hyperparameter Optimisation
AI fine-tuning isn’t just about training—it’s about optimising for performance. We fine-tune key hyperparameters like learning rate, batch size, and training epochs to ensure your AI model is accurate, efficient, and aligned with real-world business applications.
Secure LLM Deployment
Secure LLM Deployment
Your data stays yours. We deploy fine-tuned models in a self-hosted or private cloud environment, ensuring full security, compliance, and low-latency performance—so AI delivers insights in real time without risk.
Fine-Tune Your AI.
Save Hours.
Scale Instantly.
Legal
An AI model fine-tuned on legal texts, Acts, regulations, and case laws, enabling law firms, compliance teams, and policymakers to work smarter.
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Human Resource
An AI model fine-tuned on HR rules, regulations, and case studies, empowering businesses to improve employee engagement and streamline HR processes.
Learn More ⟶
Financial Services
An AI model fine-tuned to optimise taxation, banking, and financial consulting, helping businesses manage compliance, detect fraud, and automate financial insights.
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Education
An AI model fine-tuned to enhance digital learning by personalised tutoring, adaptive assessments, and curriculum-aligned assistance, helping students and educators access real-time knowledge.
Learn More ⟶
Healthcare
An AI model fine-tuned to support medical professionals with AI-powered research, symptom analysis, and patient record processing, improving diagnostics, documentation, and decision-making.
Learn More ⟶
FAQs
Have questions? Don’t worry—we’re here to guide you toward a solution that fits your needs perfectly.
What is LLM Fine-Tuning?
LLM Fine-Tuning is the process of custom-training an existing Large Language Model (LLM) using your business-specific data to improve its accuracy, relevance, and performance. This allows AI to generate more precise, context-aware responses tailored to your industry.
How do I know if my business needs LLM fine-tuning?
If your AI model produces generic, inaccurate, or irrelevant responses, struggles with industry-specific language, or requires better compliance and control, fine-tuning will optimise it to deliver precise, high-quality interactions that align with your business needs.
What types of AI models can be fine-tuned?
Yes! Your AI continuously learns from new interactions, feedback, and additional data, making it smarter and more efficient over time.
What makes DahReply’s fine-tuning different from others?
DahReply fine-tunes AI using enterprise-grade infrastructure with NVIDIA RTX A6000 GPUs and 1024GB DDR5 memory, allowing for faster and more scalable model training. AI models are customised with your business data to improve accuracy and performance. Security and compliance are prioritised, with options for self-hosted or private cloud deployment. Fine-tuned models are optimised for efficiency, reducing training costs, improving response times, and delivering more relevant AI-driven interactions.
How much data is required for fine-tuning?
Where is my fine-tuned AI model hosted?
How long does fine-tuning take?
How does fine-tuning help with compliance and security?