llm-architectv1.0.0

Deploy a scalable LLM-powered chatbot for customer support with low latency and high accuracy. The system integrates RAG for knowledge base retrieval and uses safety filters to ensure compliant responses.

Build a document summarization service for legal and medical firms using fine-tuned LLMs. Optimization focuses on long-context handling and cost-efficient inference via 4-bit quantization.

Implement a multi-model LLM system to detect toxic content, hate speech, and misinformation in user-generated content. Uses speculative decoding for sub-200ms latency and score-based routing to specialist models.

Create an adaptive tutoring platform that uses instruction-tuned LLMs with RLHF to provide personalized explanations and exercises. Incorporates retrieval augmentation to pull from curriculum materials.

Deploy a code review assistant using a fine-tuned CodeLLaMA model with chain-of-thought prompting. Integrates with CI/CD pipelines and uses token optimization to reduce API costs.

Charge enterprises a monthly fee per user or API key for access to custom LLM endpoints. Bundles include usage tiers with latency and throughput SLAs.

Offer a hosted LLM API with consumption-based pricing per token or per request. Provide fine-tuning and RAG services as add-ons.

Provide end-to-end model customization, including dataset preparation, LoRA training, and deployment. Charge a project fee plus ongoing maintenance retainer.