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Table of Contents

What is a Generative AI chatbot?

A software program designed to simulate conversation with human users, especially over the internet. These chatbots use artificial intelligence techniques to understand and respond to user inputs in a natural language, such as English. There are two main types; Rule-Based Chatbots that operate based on a predefined set of rules. They follow a specific script or decision tree to respond to user inputs or Machine Learning Chatbots that leverage machine learning algorithms to improve their performance over time. They are trained on large datasets and learn from user interactions to enhance their understanding and responses.

How does the Pricefx GenAI chatbot work?

The Pricefx generative AI chatbot uses natural language processing to understand and respond to user inquiries. It generates responses based on predefined rules, machine learning algorithms, and training data to provide relevant and helpful information to users.

The source of this chatbot is the Pricefx knowledge base and its associated pages. Every page within the knowledge base has an associated set of keyword tags that are linked to the type of content on the page. It is through the use of these tags that the AI agent can find associated content.

How can the Pricefx GenAI chatbot help me?

By providing information, answering questions, offering assistance with tasks, and engaging in conversation to provide support on specific aspects of the Pricefx solution (ie. Capabilities, Accelerators, Actionable Insights, etc.). It can also automate certain processes and provide personalized recommendations based on your preferences and behavior.

It can guide users through the use of different modules, helping with troubleshooting and issue resolution, and providing real-time support for pricing and CPQ (Configure, Price, Quote) related queries.

What is an AI Prompt?

An AI prompt is a specific input or instruction given to an AI model to generate a desired response. It serves as a starting point or guidance for the AI to produce relevant and contextually appropriate output.

How does an AI prompt factor into an accurate response?

Since our AI chatbot uses tags to identify associated information by assigning specific keywords or labels to different pieces of information, it is important to include the most relevant tags in your prompt. When this user input in the prompt matches a tagged keyword, the chatbot can retrieve and present the associated information as part of the response.

How do I create an effective AI prompt?

Creating an effective AI prompt involves several key strategies. First, it's important to provide clear and specific instructions to the AI, outlining the desired outcome or information needed. Next, incorporating relevant context and examples within the prompt can help guide the AI in generating accurate and tailored responses. Additionally, using concise and well-structured language in the prompt can enhance the AI's understanding and interpretation of the input. Lastly, considering the potential variations and nuances of the desired response can help in crafting a comprehensive and effective AI prompt.

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For more information on prompt guidance, click here.

How secure is my information when using the Pricefx GenAI chatbot?

Pricefx takes data security and privacy seriously and the Pricefx GenAi chatbot is managed locally by Pricefx and doesn’t employ external third part tools. It is designed to adhere to industry-standard security protocols and encryption methods to ensure the confidentiality and integrity of user information. It's important to review Pricefx's specific security and privacy policies for detailed information.

What are the most common problems with GenAI chatbots?

Common problems with AI chatbots encompass misunderstanding user queries, struggling with complex or ambiguous requests, lacking emotional intelligence and empathy, facing challenges in managing multiple topics within a single conversation, and being dependent on pre-defined data, which can lead to potential bias. These issues highlight the current limitations in AI chatbot capabilities, particularly in understanding and responding to human interactions with nuance and depth.