Taming
Models
Foundational models are generic and polite. era3000 aligns open-source models (Llama, Mistral) to unlearn the fluff and speak exact domain-specific language using proprietary enterprise data.
Precision Cognitive Alignment
Rigorous fine-tuning protocols are used. Models unlearn generic internet garbage to hyper-focus on specific business logic, thinking exactly like a senior domain specialist.
> PEFT / LoRA Hacks
Training a billion-parameter model from scratch is for chumps with too much GPU budget. era3000 uses LoRA and QLoRA to align specific neural pathways efficiently, training models rapidly on cost-effective hardware.
> Synthetic Data Pipelines
Automated scripts chew through document silos to synthesize high-variance datasets, creating the perfect dense curriculum to train the model.
> Open-Source Sovereignty
Once a model is fine-tuned, the weights are yours. No recurring API costs, no sending secrets to external LLM providers. Complete, absolute data sovereignty.
> RLHF & DPO
Active feedback loops are built so the model learns from team corrections, using reinforcement learning (DPO) to correct alignment dynamically.
// INFERENCE_ENGINES_ONLINE
A fine-tuned model needs a fast engine. era3000 deploys custom vLLM and TensorRT-LLM inference servers, ensuring bespoke AI spits out tokens with sub-second latency, ready to handle thousands of concurrent requests.