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SLM & LLM Zaion: Expert-driven solutions to support your operations

Combine Small Language Models with more powerful LLMs to summarize, rephrase, and analyze your conversations, with industry-specific safeguards.

Division of roles between SLM and LLM

Small Language Models (SLM)

Use cases

  • Standardized summaries of conversations
  • Classification of simple intentions
  • Extraction of structured entities
  • Rewording of predefined responses

Benefits

  • High volume (millions of interactions per day)
  • Low cost per interaction
  • Temps de réponse < 500ms
  • Reduced carbon footprint

Small Language Models (SLM)

Use cases

  • Complex cases requiring logical reasoning
  • Nuanced sentiment analysis
  • Quality monitoring of advisors
  • Advanced analytics and business insights

Benefits

  • Deep contextual understanding
  • Nuance and subtlety in the responses
  • Ability to think through multiple steps
  • A creative and adaptable generation

Hybridization & RAG for Controlled Business AI

ASR Zaion Performance

Business context

Customer data, history, products

RAG + Knowledge Base

Contextual enrichment

End-use applications

AI agents

Agent Assist

Conversational Insights

The RAG (Retrieval-Augmented Generation) architecture enables queries to be enriched with contextual business information drawn from your knowledge base, CRM, and product documentation. The orchestrator then determines the best engine (SLM or LLM) based on the complexity, risk, and budget allocated to each type of interaction.

GenAI Governance

  • Systematic testing: Evaluation of any changes to prompts or models using business datasets prior to deployment
  • Continuous monitoring: tracking of quality metrics (relevance, compliance, hallucinations) and automatic alerts in case of deviations
  • Response validation: validation using business rules and security filters to prevent non-compliant or inappropriate output
  • Traceability: comprehensive logs of inputs, outputs, and orchestration decisions for auditing and continuous improvement

Explore all our AI models

Explore each AI building block and its performance.

ASR
NLU/NLP
Other models
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