CRAZY UNICORNSLLM Fine-Tuning & Custom Models
We fine-tune and train custom language models optimized for your domain, data, and performance requirements.
Custom model development for targeted applications
We specialize in fine-tuning and training custom language models to meet specific business requirements, moving beyond the limitations of general-purpose APIs.
Our process focuses on creating models that are highly accurate for your domain, cost-effective to operate, and securely deployed within your infrastructure.
Applications of custom-trained LLMs
Domain-Specific Chatbots & Assistants
Develop chatbots that understand industry-specific jargon and provide accurate, context-aware responses for customer support or internal knowledge management.
Specialized Content Generation
Generate technical documentation, marketing copy, or other specialized content that aligns with your brand voice and domain knowledge.
Advanced Data Extraction & Analysis
Train models to extract specific information from unstructured data like legal documents, financial reports, or medical records with high accuracy.
Code Generation & Assistance
Fine-tune models to generate code in specific programming languages or frameworks, accelerating development and reducing errors.
Sentiment Analysis & Text Classification
Build models that accurately classify text or analyze sentiment for your specific industry or customer base, outperforming generic models.
Our model development process
Data Preparation & Augmentation
We collect, clean, and augment your domain-specific data to create a high-quality training dataset.
Base Model Selection & Strategy
We select the optimal base model (open-source or proprietary) and fine-tuning strategy based on your performance and cost requirements.
Fine-Tuning & RLHF
We fine-tune the model on your data and use Reinforcement Learning from Human Feedback (RLHF) to align it with your desired behavior.
Evaluation & Benchmarking
We rigorously evaluate the model's performance on a held-out test set and benchmark it against existing solutions.
Deployment & Integration
We deploy the model for inference via a secure API and integrate it into your existing applications and workflows.
Infrastructure for custom models
We design and implement the infrastructure required to host, serve, and monitor your custom language models efficiently.
This includes setting up dedicated inference endpoints, managing GPU resources, and implementing MLOps pipelines for continuous training and deployment.
Why choose us for model fine-tuning
We build models that work for your business, not just in a lab.
Ready to build your custom model?
Let's discuss your use case and determine if a custom-trained LLM is the right solution for your business.