Train large language models for your domain, data, and goals
Brim Labs helps you train, fine-tune, and align LLMs to your specific use cases. From dataset curation and model optimization to evaluation and deployment, we build custom language models that are accurate, efficient, and production-ready.
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Fine-tuned on proprietary data for domain-specific understanding.
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Smaller, efficient models tailored for targeted tasks.
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Optimized prompts and model tuning improve real-time performance.
LLM Training Solutions
Instruction-Tuned LLMs
- Use custom prompts and completions to guide model behavior
- Teach models to follow task-specific instructions
- Improve performance on Q&A, summarization, extraction, and more
Data Strategy & Curation
- Select and preprocess domain-relevant datasets
- Annotate and synthesize data with human-in-the-loop support
- Balance quality, bias, and relevance for optimal outcomes
Open Source Model Customization
- Fine-tune base models like Mistral, LLaMA, and Phi
- Add domain expertise through token-level training
- Optimize for latency, cost, and compliance
LLM Evaluation
- Conduct quantitative and qualitative performance checks
- Analyze prompt effectiveness and model drift
- Ensure consistency, interpretability, and task alignment
Model Hosting & API Access
- Serve fine-tuned models via cloud APIs or on-prem endpoints
- Secure inference access with role-based controls
- Enable rapid experimentation and integration into products
Training Language Models That Perform
Generic LLMs often fall short in specialized domains. At Brim Labs, we help you train models that speak your business language, fine-tuned on the right data, aligned with your goals, and ready for real-world deployment.Whether you're building an internal assistant, knowledge bot, or domain-specific reasoning engine, our team ensures your models are accurate, efficient, and aligned.
LLM Training
Technologies we use
