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| title: README |
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| Dharma-AI is a Brazilian AI research lab specialized in building best-in-class **Specialized Small |
| Language Models (SSLMs)** for high-impact, domain-specific problems. Our models are engineered to |
| maximize performance while minimizing latency, cost, and environmental footprint — by combining |
| state-of-the-art techniques across the full model development stack: from fine-tuning strategies |
| to inference optimization. |
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| We believe the future of applied AI is not bigger models, it is **smarter specialization**. |
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| ## Research Focus |
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| - **SLM Specialization** — fine-tuning pipelines (SFT, RLHF, GRPO, DPO), multi-stage preference |
| optimization, and data curation strategies to push small models to their performance ceiling on |
| domain-specific tasks |
| - **Mechanistic Interpretability of SLMs** — understanding the internal representations and circuits |
| of small language models to inform better specialization, diagnose failure modes, and build more |
| trustworthy systems |
| - **GPU Utilization Optimization** — maximizing throughput and minimizing memory footprint through |
| quantization, kernel fusion, batching strategies, and efficient serving infrastructure |
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| ## Links |
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| [Website](https://dharma-ai.com.br) |
