1.
Domain accuracy via SFT
Supervised fine-tuning on your terminology, databases and history. Fewer hallucinations.
CUSTOM MULTIMODAL AI
High-capacity LLMs for deep reasoning, VLMs for visual understanding, and voice models for conversational AI, plus compact SLMs for high-speed workflows and Edge models on local hardware. Designed, fine-tuned and owned by you.
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Architecture stack
Deployment methodology
Assess data quality, decide LLM / VLM / Voice / SLM / Edge on latency & cost, set baseline eval metrics.
Impact:
Private data pipelines, supervised fine-tuning on baseline architectures, functional PoC.
Impact:
Quantize for inference speed, run red-team safety evals, integrate your API / Edge layer.
Impact:
Deploy to your infra or edge hardware, set up drift monitoring, train your engineering team.
LLM · VLM · Voice · SLM · Edge
Impact:
Deploy and own
On device, low latency
Air grabbed. Your GPUs
Your VPC/ your account
