GenAI и LLM: применение в индустрии

Large Language Models трансформируют возможности automation и personalization в iGaming.

Use cases

Customer support automation. Content generation (marketing, SEO). Multilingual translation. Knowledge base search (semantic). Code generation для developers. Data analysis (natural language queries → SQL). Regulatory compliance analysis. Fraud investigation assistance.

Model options

OpenAI GPT-4o, o1: strongest general. Anthropic Claude: strong reasoning. Google Gemini: multimodal. Open-source: Llama 3, Mistral, Qwen — self-hosted. Costs: $0.005–0.02 per 1K input tokens в APIs. Self-hosting: infrastructure cost vs API fees.

RAG patterns

Retrieval-Augmented Generation: ground LLM в internal knowledge. Vector DB: Pinecone, Weaviate, pgvector. Embeddings: OpenAI, Cohere, open-source. Chunking strategies для documents. Hybrid search: semantic + keyword. Re-ranking для quality.

Guardrails

Prompt injection defense. PII redaction на входе и выходе. Regulatory compliance: no financial advice, RG-sensitive responses. Hallucination mitigation: RAG, citations. Output validation. Human-in-the-loop для critical decisions. Logging всех interactions для audit.