Next-Gen Conversational AI
Better Together!
Experience the power of Generative Language Models combined with Conversational AI
Experience the power of Generative Language Models combined with Conversational AI
Kore.ai simplifies the process for businesses to enhance customer experiences by leveraging the capabilities of large language models and generative AI. Designing, building, deploying, and analyzing Intelligent Virtual Assistants (IVAs) have become more effortless and faster, enriching customer service delivery.
Use Case Suggestions
Stop starting everything from the beginning; get a jumpstart with automatically generated helpful use cases. Easily explore all the suitable use cases for your Intelligent Virtual Assistant (IVA).
The XO Platform generates appropriate use cases for your IVA based on its intended use. Furthermore, you can receive customized scenarios for your business by giving a description. The generated use cases are then drafted as Dialog Tasks for you to develop.
Conversation Preview & Auto-Dialog Generation
Automatically generate conversation designs by simply feeding descriptions of the use case. You can review, make necessary edits, or regenerate the conversation design until you are satisfied.
Next step, the XO Platform automatically generates executable dialog tasks, simplifying the whole development efforts for you. This dialog definition includes the relevant prompts to collect the inputs from the users, API call definitions, business logic and the transition flows based on the use case description. Cool, isn’t it?
Training Data Suggestions
Creating effective training data is a huge task and requires continuous effort. Not anymore!
The Kore.ai XO Platform smart integration with language models offers training data suggestions to cover all possible variations that the end users may use. In addition to the overall speeding the whole training effort, it provides a wide range of training utterances to improve the intent detection rate.
NLU Test Data Suggestions
Batch Test suites help evaluate the NLU performance using test datasets. The new Generative AI capabilities analyze IVA scope and generate test data for various scenarios. These test suites help you achieve higher coverage by including unseen phrases, entity checks, spelling mistakes, and negative cases.
Zero-Shot Training Model
Employ Zero-Shot Model to make your virtual assistants instantly effective with very little or no training required. This approach integrates with the Open AI GPT-3 model to process customer requests efficiently, including identifying intentions and extracting entities.
All of this can be accomplished without any training provided to the virtual assistant. This greatly decreases the required training and gives your customers the finest conversational experience possible.
Few-Shot Training Model
The Few-Shot Model utilizes Kore.ai’s Custom Fine-Tuned LLM to handle customer requests. It delivers greater consistency in responding to customer requests and allows for additional training to be provided with ease. Only 1/10th of the necessary training is required to put it into operation.
The model is both robust and secure, as it does not share data with third-party sources and does not require any additional costs for activation.
Knowledge AI
The new intent-less model uses the power of large language models and generative AI technologies to eliminate manual intent creation and answer users’ questions contextually.
The new feature can take content from diverse sources like webpages, PDF files, and CMS pages. It uses a combination of intelligent algorithms to understand the document layout, semantic meaning of the content using vector-based embeddings, and OCR technologies to efficiently generate contextually relevant answers for your users’ questions without the need for manual FAQ creation. The feature also ensures up-to-date answers by auto-syncing the information from external sources.
AI-Assisted Dialog
AI-Assisted Dialog node enhances conversational capabilities by enabling bot developers to specify context, business rules, and integrate with generative AI models to orchestrate dynamic conversations.
With the help of large language models, the Node uses context information to provide a personalized experience to users, allowing for more engaging and natural interactions.
AI-Assisted Dialog Node is a powerful tool that empowers developers to create conversational agents that can handle complex tasks and provide engaging experiences to users.
Dynamic Paraphrasing
The XO Platform now offers an improved customer experience with engaging responses. It achieves this by interacting with advanced language models on the backend to present more refined responses.
Conversation Insights
Efficiently identify training issues from millions of utterances using the interactive visual map. It organizes utterances based on semantic meaning and maps to intents. Quickly review false positives, false negatives, and true negatives to either train existing or create new intents. Add follow-up actions easily to train dialogs and FAQ intents.
Intent Discovery
Leverage historical call transcripts productively. Accelerate IVA development by processing the previous customer interaction. Identify the topics from chat/call transcripts between users and agents—extract intents and entities. Review the conversations and add new intents to the IVA or train the existing intents.
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