Before you get started with building your own GPT-based bot for your business using Cody, it is essential that you understand the core terminologies so that the flexibility our bot-builder offers does not intimidate you. You do not need to be an AI expert or have prior knowledge in this domain to understand these terminologies, as they will be explained in the most simplified way. Think of this as a beginner’s guide or ‘Cody For Dummies‘.

This blog will not cover setting up Cody or importing data into Cody since we have already posted a few blogs that will help you with the setup. In the upcoming blogs, we will delve deeper into those subjects. Without any further ado, let’s understand the different terminologies you will come across while building your bot.

Personality

Cody offers two ways to define your bot’s personality: Template Mode and Advanced Mode. The personality of your bot establishes the context and behaviour of your bot to ensure it generates helpful responses that align with your expectations and prevent any unforeseen hallucinations.

❓Hallucination refers to the phenomenon where a language model generates responses that may be imaginative, speculative, or not grounded in factual information.

Template Mode

This mode is useful for those businesses who want a plug-and-play solution to building a bot. Our developers have created bot templates catering to different business domains such as Support, Training, HR and Marketing.

Select any domain from the following and Cody will handle the rest. For added flexibility, Cody also provides settings that can be used to customize the personality to some extent.

For eg. If you choose to go ahead with IT Support as your bot personality, you can change your bot’s nickname, and decide how it will be handling unanswerable queries (a default case) and the languages you need the bot to converse in.

This mode is still under development and will be soon getting updated to be able to cater to multiple other business domains with a host of customization features.

Need more flexibility? Don’t worry, we have got you covered with our Advanced Mode.

Advanced Mode

The Advanced Bot Builder gives you the freedom to customize multiple parameters and lets you build the perfect bot that suits your use case. Currently, you can customize the following parameters:

1. Prompt
2. Relevance Score
3. Token Distribution
4. Persistent Prompt
5. Reverse Vector Search

Prompt

The prompt will define the personality of your bot. To simplify the prompting process, consider the bot as an employee at your business. Although there is no specific structure for writing a personality prompt, we have prepared a list of parameters for your reference.

A sample prompt:

“You are the waiter at a pizza joint. Maintain a professional and friendly demeanor throughout all interactions, ensuring that users feel comfortable and supported. Remember to convey a sense of expertise and confidence in your responses. Additionally, I encourage you to actively promote our premium pizzas whenever appropriate. Do not refer to any menu sources other than the ones provided in the knowledge base. While recommending pizzas, state their prices and any offers that are applicable for them, too.”

Relevance Score

The Relevance Score reflects the degree of similarity between the user’s query and Cody’s response. Using semantic search, Cody compares the user’s query with the data present in the knowledge base. A higher relevance score will result in a precise answer but will compromise on understanding the overall context of the query and vice versa. In simple words, the relevance score is the degree to which the AI fears making mistakes and taking risks while responding.

Token Distribution

The token is the computational currency for large language models like the GPT family. The query (input statement) asked by the user is broken down into blocks of characters known as ‘tokens’. As AI models are really resource-intensive, in order to address the computational constraints and memory limitations, these models have a certain limit to the input data that can be processed and generated. This limit is the ‘context window’.

Cody uses the GPT family of models and the number of tokens available are limited. The token distribution feature helps in micro-managing the usage of tokens for different purposes.

They are mainly divided into Context, History and Response Generation.

1. Context: The tokens required for understanding the user query and knowledge base context.
2. History: The tokens required for adding context to the user query using the chat history.
3. Response Generation: The tokens required for assessing the coherence, grammar, and semantic validity of the generated text.

For the highest accuracy is important that the context makes up a large portion of the Token Distribution.

Persistent Prompt

By continuously reinforcing the prompt (personality of the bot), you create a form of conversational context and constraint that keeps the AI on track and helps maintain compliance with the desired outcomes. It acts as a reminder for the AI to stay within the predefined boundaries and provide responses that are relevant, accurate, and aligned with your goals.

Reverse Vector Search

Reverse Vector Search is a feature specifically designed for businesses that utilize Cody for employee training purposes. It seamlessly integrates previously generated AI responses with user queries, creating a comprehensive contextual understanding that enhances the quality and relevance of subsequent responses. It is especially valuable when using Cody for step-by-step guides and instructional purposes.

To Wrap It Up

When you have a good grasp of these terminologies, you’ll be able to refine your bot’s responses and make them even more personalized. Stay tuned for upcoming blogs offering further guidance, updates, and additional information to unleash your Cody AI bot’s full potential. For more resources, you can also check out our Help Center and join our Discord community.

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What is a knowledge management tool?

Leveraging AI with advanced natural language processing (NLP) and machine learning algorithms to efficiently capture, organize, and share knowledge gives businesses an edge, helping them meet increased demand through the power of automation while enhancing the flow of information for the benefit of employees and customers alike. It’s a recipe for success in any season, even in an arid economic climate. Why?

Well, consider what can be achieved with…

Streamlined customer support

For many organizations, the summer brings an influx of customer queries and support requests. Historically, businesses would be compelled to hire temporary staff or outsource to meet demand, which brings a host of complications.

With an AI-driven knowledge management tool, however, a business can automate its customer support processes. These tools use NLP to analyze customer queries and provide helpful answers by sourcing information from the knowledge base in real-time. These tools can understand the context of a customer’s query, making responses more accurate and relevant. This not only reduces the workload for customer support teams but also improves response times and boosts customer satisfaction.

Enhanced productivity and collaboration

Naturally, the summer is a popular time for employees to take vacations, which can mean extra pressure falls on others, and staff members standing in for others might not always be clued up on every facet of someone else’s role. AI-driven knowledge management tools can bridge this gap by providing easy access to critical information and helping employees to find answers to their questions independently.

Such tools can also be used to facilitate collaboration between team members through a centralized knowledge base that enables real-time collaboration on projects, even remotely. This can lead to a big productivity boost and help the business to run smoothly, even when short-staffed.

Personalized marketing campaigns

For many brands, summer brings a wealth of marketing opportunities in terms of seasonal trends and events. By using an AI-powered knowledge management tool to analyze customer data, browsing behavior and past purchases, organizations can create personalized marketing campaigns.

Understanding individual preferences and tailoring messages accordingly makes for more relevant and effective marketing, and those that invest in personalized marketing efforts tend to enjoy a significant return on investment. In fact, research shows that companies which excel at personalized marketing see revenue increases of 6 to 10%.

Efficient inventory management

Fluctuations in demand through the summer period can make inventory management especially challenging. An AI-driven knowledge management tool can help to predict these fluctuations through the analysis of historical data, market trends and external factors. The ability to accurately forecast demand can help a business optimize inventory levels, preventing both stockouts and overstocking, thereby reducing costs and helping to maximize revenue.

Improved decision-making

The insights afforded by an AI-powered knowledge management tool often prove to be invaluable. The ability to rapidly analyze large volumes of data enables these tools to identify patterns, trends and anomalies that might escape the human eye. This sheds light on the road ahead for decision-makers, helping them make informed decisions about product development, pricing strategies, marketing initiatives and resource allocation. During a competitive season, this kind of support can prove instrumental in securing a competitive edge.

Automation for routine tasks

With an increase in business activity, there is generally an increase in the need for time-consuming and monotonous tasks like data entry, report generation or admin, which can be tricky to keep up with when the pressure is on. An AI-powered knowledge management tool can take the pressure off by automating such tasks, allowing staff to focus their attention on more important matters.

A tool for any season

The ability of a business to make effective use of its data is what the Fourth Industrial Revolution is all about, and adopting an AI-powered knowledge management tool is a surefire way to improve information management. A tool like Cody AI allows businesses of all sizes to capitalize on the benefits of automation and unlock the true value of their data. With it, a business can not only meet the challenges and opportunities of a summer season but can also go a long way towards becoming future-proof and securing a lasting competitive edge. Come and learn more about what Cody AI can do, and start your free trial today.

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