OpenAI IntegrationCustom Model Training & Distillation

Custom OpenAI Model Fine-Tuning & Optimisation

Fine-tune OpenAI models on your domain data for superior task performance. We train custom GPT models with evaluation harnesses that ensure accuracy targets are met.

OpenAI Integration Capabilities for Custom Model Training & Distillation

OpenAI fine-tuning pipeline

Domain data preparation

Evaluation harness development

Cost-optimised model selection

A/B testing fine-tuned variants

Use Cases

1

Domain-specific GPT models for enterprise tasks

2

Custom classification with fine-tuned OpenAI

3

Brand-voice content generation models

4

Specialised extraction models for document processing

Integration Details

OpenAI Integration

OpenAI API integration with enterprise controls. We build production systems with rate limiting, fallbacks, cost optimization, and security.

GPT-4GPT-4oEmbeddingsDALL-EWhisperAzure OpenAI

Custom Model Training & Distillation

Training domain models on curated corpora, applying NeMo and LoRA distillation, and wiring evaluation harnesses so accuracy stays high while latency and spend drop.

NVIDIA NeMo MicroservicesHugging Face TransformersLoRA & QLoRADeepSpeed & MegatronRAG Evaluation HarnessesPromptFlow & TruLensWeights & Biases

Ready to Implement OpenAI Integration for Custom Model Training & Distillation?

Let's discuss how we can help you leverage openai integration within your custom model training & distillation strategy.

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