Awards & Recognition
We are proud to be recognized for our excellence by important publications around the world.
Services
fine-tuning Services
Fine-tuning is a machine learning process that involves adjusting a pre-trained AI model to improve its efficiency on specific tasks. Rather than training an AI model from scratch, which can be costly and time-consuming, it refines an existing model with additional data to enhance it for a specific situation.
Grow. Together
Fine-Tuning Technology Stack
Our Process
How We Fine-Tune AI Models
What our clients said
FINE-TUNING SERVICES
Types of Fine-Tuning Services
-
Domain-Specific Models
Tailor open-source LLMs to understand your industry, language, and workflows.
-
Custom Training Data
Use your own datasets to fine-tune models for higher relevance and accuracy.
-
Model Optimization
Enhance performance with precision tuning—faster responses, better context, smarter outputs.
FINE-TUNING SERVICES in the USA
Why Choose US?
Sovanza offers top-tier Fine-Tuning Services, combining advanced AI models with expert customization and optimization. By utilizing our fine-tuning expertise, Sovanza helps businesses enhance the performance of their AI models, improve accuracy, and tailor solutions to specific workflows. We deliver scalable, high-performance solutions backed by strong technical expertise and global standards. Whether you need model optimization, AI agents, or custom AI applications, Sovanza ensures your fine-tuned models are efficient, reliable, and perfectly aligned with your business needs.
-
Professional experience.
-
150 projects successfully delivered.
-
High Quality Services.
-
Professional team.
FINE-TUNING SERVICES
Must-Have Features in Fine-Tuning Projects
To deliver high-performing fine-tuned models, focus on domain-specific training, increased accuracy, smooth integration, and continuous performance optimization.
Basic
Designed to cover essential features with a focus on simplicity and functionality.
$300 – $1,000
- ✅ Supported Models
- Fine-tune GPT-3.5, Cohere Command-R+, or Open-Source Models (LLaMA 2, Mistral 7B)
- Hosted via OpenAI API, HuggingFace, or Contabo Cloud
- ✅ Fine-Tuning Workflow
- Preprocessing & Tokenization of Up to 50,000 Examples
- Training with JSONL Format Dataset
- Model Training via CLI/Notebook or Web Dashboard
- 1 Custom Model Output
- ✅ Capabilities & Use Cases
- Tailor Responses for Specific Brand Voice or Tone
- Improve Performance on Specific Intents/Topics
- Few-shot Prompting Optimization
- ✅ Support & Tools
- Documentation & Setup Tutorials
- Evaluation Report (Accuracy, Latency, Token Efficiency)
- Email Support
Advanced
Built for scalable, high-performance projects with advanced features.
$1,500 – $6,000
- ✅ Expanded Model Support
- GPT-3.5, GPT-4 (via OpenAI), Falcon, Mixtral, or LLaMA 2 13B/70B
- Option for Full or LoRA Fine-Tuning
- Hosting on Dedicated GPU (Contabo, AWS, GCP) or Hugging Face Inference
- ✅ Fine-Tuning Workflow
- Data Curation & Cleaning for Up to 500,000 Examples
- RAG Support: Fine-Tune + Retrieval-Augmented Generation
- Hyperparameter Optimization & Checkpointing
- Multiple Checkpoints + Model Comparison Dashboard
- ✅ Post-Training Features
- Embedding Integration & Search Tuning
- Custom Tokenizer Support
- Scoring Metrics (F1, BLEU, Perplexity)
- Deployment to API or LangChain, LlamaIndex, etc.
- ✅ Support & Management
- Dedicated AI Engineer
- Priority Chat/Slack Support
- Model Hosting & Monitoring (30 days included)
- Compliance: GDPR, SOC 2 Ready
Masterprise
Tailored for large, fully customized solutions with advanced security and infrastructure.
Contact Us
- ✅ Expanded Model Support
- GPT-3.5, GPT-4 (via OpenAI), Falcon, Mixtral, or LLaMA 2 13B/70B
- Option for Full or LoRA Fine-Tuning
- Hosting on Dedicated GPU (Contabo, AWS, GCP) or Hugging Face Inference
- ✅ Fine-Tuning Workflow
- Data Curation & Cleaning for Up to 500,000 Examples
- RAG Support: Fine-Tune + Retrieval-Augmented Generation
- Hyperparameter Optimization & Checkpointing
- Multiple Checkpoints + Model Comparison Dashboard
- ✅ Post-Training Features
- Embedding Integration & Search Tuning
- Custom Tokenizer Support
- Scoring Metrics (F1, BLEU, Perplexity)
- Deployment to API or LangChain, LlamaIndex, etc.
- ✅ Support & Management
- Dedicated AI Engineer
- Priority Chat/Slack Support
- Model Hosting & Monitoring (30 days included)
- Compliance: GDPR, SOC 2 Ready
Frequently Asked Questions
FAQs
Can’t find what you’re looking for? don’t hesitate to reach out!
What is fine-tuning in AI?
Fine-tuning provides specific domain information to a pre-trained AI model to increase its accuracy and performance for a certain task. This strategy increases efficiency and decreases the requirement to create AI models from scratch.
What are some common fine-tuning techniques?
Three fine-tuning techniques exist: full fine-tuning, layer-wise tuning, and parameter-efficient fine-tuning. Advanced approaches such as LoRA (Low-Rank Adaptation) help to cut computing costs while preserving model efficiency.
Why is fine-tuning important for businesses in the USA?
It allows firms to tailor AI models to their industry demands, resulting in greater accuracy and relevance. It improves decision-making, reduces errors, and ensures compliance with increasing rules, making AI solutions more effective in healthcare, banking, and retail industries.
How does Sovanza specialize in AI fine-tuning?
Sovanza provides industry-specific AI solutions that optimize models for greater accuracy, efficiency, and scalability. Our expertise includes NLP, computer vision, and predictive analytics, ensuring that organizations in the United States get the most out of their artificial intelligence investments.
Can fine-tuned models be integrated into existing systems?
Yes. We ensure seamless integration of fine-tuned models into your applications, platforms, or workflows without disrupting your existing infrastructure.
Let’s build smarter
Ready to accelerate?
Build AI, blockchain, and growth systems that compound results.