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Decrease training cost, smarter conversational service, and higher accuracy with GenAI Admin Portal
Intumit GenAI Admin Portal integrates LLMs and Copilot features to create cutting-edge artificial intelligence products based on NLU/NLP.
Utilizing Azure OpenAI/ChatGPT models, our customers can leverage the latest Copilot and NLP technology to automatically generate training data, detect intents, and generate initial commands to streamline the conversation building process, reducing time and manpower requirements.
GenAI Admin Portal uses less training data and provides higher accuracy as we aim to deliver superior conversational services, and advanced generative AI and Copilot services that support multiple languages, enabling multinational brands/companies to create chatbot solutions at lower costs.
GenAI Admin Portal with Azure OpenAI / ChatGPT
In order to improve customer and employee experiences, Intumit prioritizes enhancing the predictiveness, applicability, and versatility for its Copilot features during development, and fine-tune them to provide better customer experience.
GenAI Admin Portal Functions
Establishing a structured FAQ knowledge base
Transform static FAQs into a specialized structure using key domain terms with machine learning.
- Upload content to auto-generate training data.
- Summairze, create tones, and create konwledge base at ease.
- Automatically generate synonyms and contexts.
Combining answers for multiple intents
The user poses multiple questions in a single inquiry, and the chatbot can retrieve multiple matching answers from the FAQ knowledge base. It then utilizes LLM to blend and generate a response that meets the customer’s expectations, effortlessly handling various challenging and complex queries.
Semantic Search
Using Azure OpenAI integrated large language model (LLM) to generate answers by processing uploaded documents and user queries. It helps users answer questions from unstructured text documents without the need to create individual FAQs and train them.
Azure OpenAI directly provides reference answers
Using Azure OpenAI integrated large language model (LLM), users can generate reference answer content by providing only the question, with settings for tone, role, and direction of the response.
Parse voice messages
Upload STT, LINE CALL voice files, or other voice system files to the platform for voice content parsing, and generate key summaries or Q&A based on the parsed content.
Optimize answer content
Optimize answer content for tone, different language variations, response methods, and more.
Features
Build chatbots quickly with fewer training resources
Integrate traditional flyers, reports, registrations, and email notifications into a single channel
Execute extensive and complex tasks through AI-powered conversations
Handle multiple languages without the need for translation personnel
Learn complex structural logic like a human
Design marketing and shopping guide processes
Shorten service development time
Reduce expenditure costs
Obtain more precise answers
Clients
Building the next generation of intelligence based on NLU/NLP AI
GenAI Admin Portal – Azure AI/ChatGPT Conversational Service