✅ Multi-Turn Chat with Yes/No Assistant Demo Overview
🎯 Purpose of the Sample
The Multi-Turn Chat with Yes/No Assistant Demo showcases how to utilize the LM-Kit.NET SDK to create an interactive chatbot that provides yes or no answers. This sample demonstrates the integration of large language models (LLMs) into a .NET application to facilitate multi-turn conversations where the chatbot responds strictly with yes or no answers, serving as a fact-checking assistant.
👥 Industry Target Audience
This sample is particularly beneficial for developers and organizations in the following sectors:
- 📞 Customer Support: Provide clear and concise responses to customer queries.
- 📚 Education: Aid in quizzes and simple assessments requiring yes or no answers.
- 🏥 Healthcare: Assist in preliminary diagnostics by answering basic yes or no questions.
- 🔍 Fact-Checking Services: Automate the process of verifying statements with straightforward yes or no responses.
🚀 Problem Solved
Creating chatbots that provide concise and unambiguous answers can be challenging, especially when the required response is strictly yes or no. The Multi-Turn Chat with Yes/No Assistant Demo addresses this problem by leveraging LLMs to ensure the chatbot only gives yes or no answers, enhancing clarity and precision in automated responses.
💻 Sample Application Description
The Multi-Turn Chat with Yes/No Assistant Demo is a console application that allows users to interact with a chatbot designed to answer yes or no questions using various AI models.
✨ Key Features
- 📈 Model Selection: Users can choose from predefined models or provide a custom model URI.
- 📊 Progress Tracking: The application displays download and loading progress for the selected model.
- ✅ Strict Yes/No Responses: The chatbot is programmed to respond only with yes or no, based on the user's query.
- 📈 Performance Metrics: Displays generated tokens, stop reasons, quality score, and speed of response for each interaction.
- 📝 Special Commands: Users can reset the conversation using the /reset command.
🧠 Supported Models
The sample supports several state-of-the-art models:
- Mistral Nemo 2407 12.2B
- Meta Llama 3.1 8B
- Google Gemma2 9B Medium
- Microsoft Phi-3 3.82B Mini
- Alibaba Qwen-2 7.6B
🛠️ Getting Started
📋 Prerequisites
- .NET Framework 4.6.2 or .NET 6.0
📥 Download the Project
▶️ Running the Application
📂 Clone the repository:
git clone https://github.com/LM-Kit/lm-kit-net-samples.git
📁 Navigate to the project directory:
cd lm-kit-net-samples/console_framework_4.62/multi_turn_chat_with_yes_no_assistant
or
cd lm-kit-net-samples/console_net6/multi_turn_chat_with_yes_no_assistant
🔨 Build and run the application:
dotnet build dotnet run
📝 Follow the on-screen prompts to select a model and start the multi-turn chat.
💡 Example Usage
- Select a Model: Choose from the available models or enter a custom model URI.
- Initiate Conversation: Start by entering a question, such as "Hello chatbot, are you functioning properly?".
- Receive Yes/No Response: The chatbot will respond with yes or no based on the query.
- Continue Interaction: Enter another question or reset the conversation using the /reset command.
- End the Chat: Submit an empty input to end the program.
By following these steps, developers can explore the functionalities of LM-Kit.NET and integrate a yes/no answering chatbot into their applications, enhancing the clarity and precision of automated responses through a multi-turn conversational AI.