> ## Documentation Index > Fetch the complete documentation index at: https://koreai.mintlify.app/llms.txt > Use this file to discover all available pages before exploring further. # 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). *** ## 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. *** ## 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. | XO GPT Model | Supported Feature | Version | Base Model | Languages | Regions | Deployed | | -------------------------------- | -------------------------------------- | --------------------------------------------------------------------------------------------- | ------------------------ | ---------------------------------------------------------------------------------------------------- | ---------- | ------------------------------------- | | Answer Generation Model | Answer Generation | [v3.0](/ai-for-service/generative-ai-tools/xogpt-answer-generation-model#version-30) | Llama-3.1-8B-Instruct | English, French, German, Japanese, Polish, Spanish | US, DE, EU | 6 May 2025 | | Conversation Summarization Model | Conversation Summarization | [v2.0](/ai-for-service/generative-ai-tools/xogpt-conversation-summarization-model#version-20) | Mistral 7B Instruct v0.2 | English, French, German, Japanese, Polish, Simplified Chinese, Spanish, Traditional Chinese, Turkish | US, DE, JP | 23 Sep 2025 (US/DE), 20 Dec 2024 (JP) | | Response Rephrasing Model | Rephrase Dialog Responses | [v1.0](/ai-for-service/generative-ai-tools/xogpt-response-rephrasing-model#version-10) | Mistral 7B Instruct v0.2 | English | US, DE | 1 Jun 2024 (US), 3 Sep 2024 (DE) | | User Query Paraphrasing Model | Rephrase User Query | [v1.0](/ai-for-service/generative-ai-tools/xogpt-user-query-paraphrasing-model#version-10) | Mistral 7B Instruct v0.2 | English | US, DE | 1 Jun 2024 (US), 3 Sep 2024 (DE) | | DialogGPT Model | DialogGPT - Conversation Orchestration | [v1.1](/ai-for-service/generative-ai-tools/xogpt-dialoggpt-model) | Llama-3.1-8B-Instruct | English, French, German, Japanese, Polish, Spanish | US, DE | 26 May 2025 | *** ## Supported Features | Feature | Description | Learn More | | ------------------------------------------ | -------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------- | | **Answer Generation** | Generates answers from data ingested into Search AI using RAG. | [Search AI GenAI Features](/ai-for-service/generative-ai-tools/genai-features-searchai) | | **Conversation Summary** | Generates concise summaries of agent-user-human interactions; integrates with Contact Center and third-party apps via API. | [Automation AI GenAI Features](/ai-for-service/generative-ai-tools/genai-features-automationai) | | **DialogGPT - Conversation Orchestration** | Manages conversation flow, identifies intent, and routes conversations to the correct AI Agent in universal apps. | [DialogGPT Conversation Orchestration](/ai-for-service/automation/dialoggpt) | | **Rephrase Dialog Responses** | Rephrases AI Agent responses based on conversation context and user emotion for more empathetic interactions. | [Automation AI GenAI Features](/ai-for-service/generative-ai-tools/genai-features-automationai) | | **Rephrase User Query** | Expands and rephrases user queries using app domain knowledge and conversation history to improve NLP accuracy. | [Automation AI GenAI Features](/ai-for-service/generative-ai-tools/genai-features-automationai) | | **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](/ai-for-service/generative-ai-tools/genai-features-searchai) | ## 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](/ai-for-service/generative-ai-tools/xogpt-model-specifications) | The model building process, benchmarks index, and roadmap. | | [Answer Generation Model](/ai-for-service/generative-ai-tools/xogpt-answer-generation-model) | RAG-based model that generates accurate answers from domain-specific ingested data. | | [Conversation Summarization Model](/ai-for-service/generative-ai-tools/xogpt-conversation-summarization-model) | Abstractive summarization model for agent-customer interaction transcripts. | | [DialogGPT Model](/ai-for-service/generative-ai-tools/xogpt-dialoggpt-model) | Intent prediction model for multi-turn conversation orchestration. | | [Response Rephrasing Model](/ai-for-service/generative-ai-tools/xogpt-response-rephrasing-model) | Rephrases AI Agent responses to be more empathetic and contextually appropriate. | | [User Query Paraphrasing Model](/ai-for-service/generative-ai-tools/xogpt-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](https://support.kore.ai/hc/en-us/requests) with your sample set, error category, use case, and expected vs. actual outputs. See [XO GPT Feedback Submission](/ai-for-service/generative-ai-tools/xogpt-feedback-submission) for the full guide, issue categories, and the feedback workflow. ***