Kore.ai XO GPT Module

The Kore.ai XO GPT module provides fine-tuned LLMs for enterprise conversational AI. These models are optimized for accuracy, safety, and production efficiency.

Current capabilities: Answer Generation, Conversation Summarization, User Query Rephrasing, AI Agent Response Rephrasing, Vector/Embedding Generation (Text and Image), and Intent Resolution (DialogGPT).

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Benefits

Benefit	Description
Better Accuracy	Smaller foundation models (under 10B parameters), fine-tuned for conversational AI, outperform prompting larger generative models directly.
Faster Responses	Smaller models co-hosted with the platform deliver low-latency responses suited for digital and voice production use cases.
Ready to Use	Pre-fine-tuned models deploy immediately—no in-house AI expertise or tuning cycles required.
Data Security	Fully integrated into the platform, enforcing enterprise-grade data confidentiality, privacy, and governance.

Model Fine-Tuning Process

1. Collect Data — Gather a task-relevant dataset to serve as training material.
2. Select a Base LLM — Choose a pre-trained model suited to the task.
3. Train — Adjust model parameters using the task-specific dataset to learn conversation patterns.
4. Test and Refine — Evaluate on a validation dataset and iterate to achieve optimal results.

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Live Model Versions and Supported Languages

The table below lists all currently deployed XO GPT models.

For non-English languages, XO GPT supports industry-established generic use cases. For additional language-specific support, use the Agent Platform.

Attribute	DialogGPT Model	Answer Generation Model	Conversation Summarization Model	Response Rephrasing Model	User Query Paraphrasing Model
Supported Feature	DialogGPT - Conversation Orchestration	Answer Generation	Conversation Summarization	Rephrase Dialog Responses	Rephrase User Query
Version	v1.1	v3.0	v2.0	v1.0	v1.0
Base Model	Llama-3.1-8B-Instruct	Llama-3.1-8B-Instruct	Mistral 7B Instruct v0.2	Mistral 7B Instruct v0.2	Mistral 7B Instruct v0.2
Languages	English, French, German, Japanese, Polish, Spanish	English, French, German, Japanese, Polish, Spanish	English, French, German, Japanese, Polish, Simplified Chinese, Spanish, Traditional Chinese, Turkish	English	English
Regions	US, DE, JP	US, DE, EU	US, DE, JP	US, DE	US, DE
Deployed	May 26, 2025 (US/DE), May 11, 2026 (JP)	May 6, 2025	Sep 23, 2025 (US/DE), Dec 20, 2024 (JP)	Jun 1, 2024 (US), Sep 3, 2024 (DE)	Jun 1, 2024 (US), Sep 3, 2024 (DE)

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Supported Features

Feature	Description	Learn More
Answer Generation	Generates answers from data ingested into Search AI using RAG.	Search AI GenAI Features
Conversation Summary	Generates concise summaries of agent-user-human interactions; integrates with Contact Center and third-party apps via API.	Automation AI GenAI Features
DialogGPT - Conversation Orchestration	Manages conversation flow, identifies intent, and routes conversations to the correct AI Agent in universal apps.	DialogGPT Conversation Orchestration
Rephrase Dialog Responses	Rephrases AI Agent responses based on conversation context and user emotion for more empathetic interactions.	Automation AI GenAI Features
Rephrase User Query	Expands and rephrases user queries using app domain knowledge and conversation history to improve NLP accuracy.	Automation AI GenAI Features
Vector Generation (Image & Text)	Creates vector embeddings for text and image data in Search AI; converts queries to embeddings for vector search.	Search AI GenAI Features

XO GPT Model Specifications

XO GPT models are fine-tuned for specific conversational AI tasks. The pages below cover each model’s design, benchmarks, fine-tuning parameters, and version history, along with shared information on the model building process and live deployment versions.

Document	Description
Model Specifications	The model building process, benchmarks index, and roadmap.
Answer Generation Model	RAG-based model that generates accurate answers from domain-specific ingested data.
Conversation Summarization Model	Abstractive summarization model for agent-customer interaction transcripts.
DialogGPT Model	Intent prediction model for multi-turn conversation orchestration.
Response Rephrasing Model	Rephrases AI Agent responses to be more empathetic and contextually appropriate.
User Query Paraphrasing Model	Expands and rephrases user queries to improve downstream NLP accuracy.

XO GPT Feedback Submission

Kore.ai incorporates customer feedback into ongoing model improvements. Effective feedback helps prioritize issues, identify recurring patterns, and drive targeted retraining cycles.

To submit feedback, open a support ticket with your sample set, error category, use case, and expected vs. actual outputs. See XO GPT Feedback Submission for the full guide, issue categories, and the feedback workflow.

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