Inspire AIQ LogoInspire AIQ
    Agentic AI

    LLM Inference & Fine Tuning

    Models calibrated to your domain, data, and standards

    We fine-tune and optimize large language models for your specific industry vocabulary, compliance requirements, and task formats. From LoRA instruction tuning to full supervised fine-tuning, we make foundation models perform like domain experts.

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    40%
    Task Accuracy Gain
    Domain fine-tuned models vs.
    60%
    Inference Cost Reduction
    Smaller, optimized models outperform
    FullCompliance Control
    Hugging Face PEFT
    QLoRA
    Agentic AI

    What We Deliver

    Core capabilities that define how we approach LLM Inference & Fine Tuning engagements.

    Instruction Fine-Tuning

    Train models to follow your enterprise-specific output formats, procedures, and response styles reliably.

    Domain Adaptation

    Adapt base models to your industry's terminology — medical, legal, financial, or industrial — for precise domain understanding.

    RLHF & Alignment

    Align model outputs to your brand voice, safety guidelines, and regulatory compliance requirements via human feedback.

    Inference Optimization

    Reduce latency and serving costs with quantization (INT4/INT8), distillation, and batching strategies.

    Our Process

    A structured, proven approach that delivers results every time.

    1

    Baseline Evaluation

    Benchmark the base model on your specific tasks to identify where fine-tuning adds the most value.

    2

    Data Preparation & Curation

    Curate high-quality instruction-response pairs from your enterprise data and SME expertise.

    3

    Fine-Tuning Execution

    Run LoRA, QLoRA, or full fine-tuning with optimal hyperparameters on GPU infrastructure.

    4

    Evaluation & Red-Teaming

    Benchmark fine-tuned models against custom evaluation suites and adversarial tests for your domain.

    5

    Deployment & Cost Optimization

    Deploy to the optimal inference infrastructure and continuously tune for latency and cost targets.

    Business Outcomes

    Measurable results our clients achieve with LLM Inference & Fine Tuning.

    40%
    Task Accuracy Gain

    Domain fine-tuned models vs. prompt-engineered generic models

    60%
    Inference Cost Reduction

    Smaller, optimized models outperform large expensive alternatives

    Full
    Compliance Control

    Outputs aligned to your regulatory and brand requirements

    Technologies We Work With

    Hugging Face PEFTQLoRAAxolotlvLLMTGIWeights & BiasesBitsAndBytesCUDA

    Ready to get started with LLM Inference & Fine Tuning?

    Let's explore how this capability can create measurable impact for your enterprise.

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    FAQ

    Common Questions about LLM Inference & Fine Tuning