Build AI chatbots with Coze! All experience levels welcome.

Welcome to the Co AI Bots building Live Stream where we guide you through creating powerful AI chatbots using no-code or low-code. The platform, Co, allows users to build AI bots on large language models like GPT 4. The session covers the bot creation process, including choosing a persona, skills, and leveraging plugins for enhanced functionality. Discover how to personalize your bot with variables and utilize knowledge bases for context-rich responses. Learn about card bindings for structured responses, long-term memory for data retention, and filebox for storing media. Explore the bot store for inspiration and publishing options to share your bot on platforms like Discord and Telegram. The live stream also introduces multi-agent mode for complex tasks and triggers for proactive bot interactions. Join the Co community on Discord for support and resources to enhance your bot-building experience.

Takeaways

• 🌟 **Building AI Chatbots**: The session focuses on building powerful AI chatbots using Coze, suitable for developers of all experience levels.
• 📚 **Learning Resources**: Coze provides a bot store filled with community-created bots that serve various purposes, from learning to entertainment, offering inspiration and a starting point for new developers.
• 💡 **Customization and Personalization**: Users can customize their chatbots with features like knowledge bases, workflows, and plugins to tailor the bot's functionality and responses.
• 📈 **Optimizing Prompts**: Coze assists users in optimizing their prompts for better understanding and more accurate responses from the AI, without needing expertise in prompt engineering.
• 🌐 **Integration with APIs**: The platform allows integration with various APIs like GitHub, Trip Advisor, and Yelp to enhance the bot's capabilities and provide real-time or specific information.
• 📱 **Cross-Platform Publishing**: Bots built on Coze can be published to multiple platforms including Discord, Telegram, and Slack, making them highly portable and accessible.
• 🔧 **Workflows and Skill Combination**: Coze enables the creation of complex workflows that combine different skills and plugins to perform multi-step processes and generate structured responses.
• 🧠 **Utilizing Large Language Models**: The platform provides access to large language models like GPT-4 for free, which can be used to enhance the bot's natural language understanding and response generation.
• 🔗 **Markdown Format for Emphasis**: Using markdown in prompts helps the AI to understand the emphasis on certain characteristics, improving the bot's ability to respond accurately.
• 📸 **Plugins for Image Generation**: Text-to-image generation is possible through integration with plugins like DALL-E 3, allowing bots to generate images from textual descriptions.
• 🗄️ **Databases for Data Management**: Coze supports databases that act like variables, enabling the organization and retrieval of structured data, which can be manipulated through natural language interactions with the bot.

Q & A

What is the main topic of the live stream?

The main topic of the live stream is building powerful AI chatbots using Coze, a no-code or low-code platform suitable for developers of all levels.

How can one get started with Coze?

To get started with Coze, one can visit cod.com, create a free account, and follow along with the live stream to build a chatbot from scratch.

What features does Coze offer for building chatbots?

Coze offers features like knowledge bases, workflows, the ability to publish to popular applications like Discord and Slack, and access to large language models like GPT 4 for free.

How does Coze differ from other custom GPT builders like OpenAI's GPT Builder?

Coze provides additional features not typically found in other GPT builders, such as knowledge bases that can pull from various file types and APIs, the ability to publish to multiple platforms directly from the interface, and a more user-friendly approach that doesn't require extensive coding knowledge.

What is the purpose of the bot store in Coze?

The bot store in Coze is a community-driven platform where users can find and get inspired by bots created by others. It contains a variety of bots for different purposes, from personal assistance to games and consultation services.

How can users personalize their chatbot using Coze?

Users can personalize their chatbot by creating a persona for the bot, adding skills, and using features like plugins, workflows, knowledge bases, and card bindings to structure responses in a preferred format.

What is the role of plugins in enhancing a chatbot's capabilities?

Plugins in Coze allow the chatbot to access and utilize information from various APIs and services, such as Google web search, GitHub, Trip Advisor, and Yelp, to provide more accurate and relevant responses to user queries.

How does the use of workflows help in creating a more structured response?

Workflows in Coze help in creating a multi-step process that combines different skills and plugins to generate a structured and predictable response. They are particularly useful for complex tasks that require a sequence of operations.

What is the benefit of using knowledge bases in a chatbot?

Knowledge bases enhance a chatbot's ability to provide contextually rich and accurate responses by allowing it to reference content stored in various files, websites, and databases. This feature is particularly useful for customer service bots or bots that need to access a large volume of documentation.

How can a chatbot created with Coze be published and shared?

After building a chatbot with Coze, it can be published to the Coze bot store, or integrated into various chat applications like Discord, Telegram, and Slack using API keys or secret keys provided by these platforms.

What kind of support and resources are available for users of Coze?

Users of Coze have access to comprehensive documentation, a Discord server for community support and questions, an onboarding bot within Coze for feature inquiries, and a YouTube channel with tutorials and best practices.

Outlines

00:00

🎉 Introduction to AI Chatbot Building with Co

The live stream begins with a warm welcome to the audience and an introduction to the topic of building AI chatbots using Co, a no-code or low-code platform. The hosts, Zara and Joshua, encourage viewers to create a free account on Co's website and ask questions in the comment section. They mention the global audience and share their roles within the company. The conversational format of the stream is outlined, with Joshua guiding the audience through the bot creation process.

05:01

🤖 Exploring the Co Bot Store and its Features

The hosts discuss the Co bot store, which is filled with community-created bots for various purposes like learning, writing assistance, and entertainment. They demonstrate how to interact with a bot from the store and explain how to view the bot's creation process and workspace. The capabilities of Co are compared to other platforms, highlighting features like knowledge bases, workflows, multi-step processes, and the ability to publish bots on popular applications.

10:02

📝 Creating a Custom Bot for Planning a Trip to Japan

The process of creating a new bot named 'Plan a Trip Bot' is detailed, starting with naming the bot and incorporating a large language model. The hosts guide the audience through setting up the bot's persona and skills using natural language prompts, which are optimized for better performance by the Co platform. They also touch upon customizing the bot's profile image and the importance of the bot's description.

15:03

🍜 Interacting with the Bot and Enhancing its Capabilities

The hosts test the bot's capabilities by asking it to recommend restaurants in Tokyo. They discuss how the bot uses its built-in knowledge to answer questions and how its responses can be improved with real-time or privately available information. Plugins are introduced as a way to enhance the bot's functionality, with examples like Google web search, GPT, DALL-E, and Trip Advisor being demonstrated.

20:05

🔌 Utilizing Plugins and Customizing Bot Responses

The hosts delve into the use of plugins to fetch real-time data and how to bind API data to create structured responses. They show how to use the Yelp plugin to recommend restaurants and how to format these recommendations using card bindings. The importance of specifying when to use certain plugins within the bot's prompt is emphasized.

25:05

🧳 Personalizing the Travel Bot with Variables and Knowledge Bases

The hosts discuss personalizing the bot's responses using variables to store user preferences. They demonstrate creating a variable for trip preferences and how the bot can utilize this information to provide tailored suggestions. The concept of knowledge bases is introduced, explaining how to upload and use external documentation to enhance the bot's memory and responses.

30:06

🤖 Multi-Agent Mode and Combining Bots for Enhanced Tasks

The hosts explore multi-agent mode, which allows for the creation of a team of bots, each specializing in different skills to work together on tasks. They provide an example of using multiple bots for managing emails, calendars, and Google Sheets. The concept of applicable scenarios for determining when each bot should be utilized is also discussed.

35:06

📈 Publishing and Sharing Your Bot

The final steps involve publishing the completed bot to various platforms, including the Co bot store and other chat applications like Discord and Telegram. The hosts explain the process of generating a change log, the difference between private and public configurations, and the benefits of sharing bots within the Co community for increased exposure and recommendations.

40:09

❓ Resources for Further Learning and Support

The hosts provide information on additional resources for learning more about Co, including comprehensive documentation, the Co assistant bot in the Discord server, and a YouTube channel with tutorials and case studies. They encourage the audience to join their Discord server for further questions, feedback, and community engagement.

Keywords

💡AI chatbots

AI chatbots are computer programs designed to simulate conversation with human users. In the context of the video, they are being built using Coze, a platform that allows for the creation of chatbots with no code or low code, making it accessible to developers of all experience levels. The video demonstrates how to build a chatbot from scratch, emphasizing its applicability in various scenarios, from personal assistance to gaming and consultation.

💡Coze

Coze is the platform mentioned in the video that enables users to build AI chatbots. It is characterized by its user-friendly approach, allowing for the creation of chatbots with no code or low code, and it integrates with large language models like GPT-4. Coze also provides a bot store where users can find and use community-built bots, as well as a workspace for designing and optimizing bot personas and functionalities.

💡Large Language Models (LLMs)

Large Language Models, or LLMs, are AI models that are trained on vast amounts of text data and can generate human-like text based on given prompts. In the video, LLMs such as GPT-4 are used to power chatbots, enabling them to understand and generate responses to user inputs. The choice of LLM can affect the bot's performance and the level of detail in its responses.

💡Plugins

Plugins in the context of the video are add-ons or extensions that can be integrated into chatbots to extend their capabilities. They can connect to various services like APIs, enabling the chatbot to fetch real-time data or perform specific functions. For example, a Trip Advisor plugin can provide information on travel destinations, while a Yelp plugin can offer restaurant recommendations.

💡Workflows

Workflows are a sequence of steps or processes that can be automated within the chatbot to execute complex tasks. They help in structuring the bot's responses and actions to provide a more predictable and structured output. In the video, workflows are used to create a multi-step process for generating NBA scores or styling images consistently, showcasing their utility in managing more sophisticated bot functionalities.

💡Knowledge Bases

Knowledge bases are databases of information that chatbots can access to provide informed responses. They can include documentation, FAQs, or any structured data that the bot can reference. In the video, the use of knowledge bases is highlighted as a way to give chatbots more context and reduce 'hallucinations', ensuring that the bot's responses are grounded in the provided knowledge.

💡Variables

Variables in the context of the video are used to store and recall information specific to individual users or conversations. They allow the chatbot to remember user preferences or details from previous interactions to provide personalized responses. For instance, a user's trip preferences can be stored as a variable and later used by the bot to offer tailored travel recommendations.

💡Triggers

Triggers are mechanisms within the chatbot that initiate actions based on certain conditions or events. They can be time-based, event-based, or user interaction-based. In the video, triggers are exemplified by setting up a bot to send a reminder or a news update at a specified time, showcasing how they can be used for proactive communication without user prompting.

💡Databases

Databases in the video refer to a structured way of organizing and storing data within the chatbot platform. They can be used to manage information such as contact lists, user preferences, or any other data that needs to be retained and accessed during conversations. The video demonstrates how databases can be queried and manipulated through natural language interactions with the bot.

💡Multi-agent Mode

Multi-agent mode is a feature that allows the coordination of multiple bots, each with a specific skill or function, to work together to accomplish tasks. This mode is highlighted in the video as a way to create more complex and efficient bot systems where different bots can handle different aspects of a user's request, providing a more comprehensive service.

💡Publishing

Publishing in the context of the video refers to the process of making the completed chatbot available for use by others. This can be done through the Coze bot store, or by integrating the bot into various chat applications like Discord or Telegram. Publishing is the final step that allows the bot to be shared and utilized by a wider audience.

Highlights

Live stream on building AI chatbots with Coze, suitable for all experience levels.

Introduction to Coze, a platform for creating powerful AI chatbots with no or low-code.

Coze allows integration with large language models like GPT-4 for advanced bot capabilities.

The Coze bot store is a community-driven resource featuring a variety of bots for different purposes.

Demonstration of how to use plugins and the GitHub API to create a bot that recommends popular projects.

Explanation of how to build a bot's persona and skills using natural language prompts.

Showcasing Coze's workspace features, including persona prompts and optimization tools.

Introduction of the markdown format for structuring bot responses and its benefits for AI comprehension.

Discussion on the selection and customization of large language models within Coze.

Live testing of a newly created 'Plan a Trip Bot' and its ability to generate recommendations based on user preferences.

Overview of plugins and their role in enhancing bot functionality with external services like Yelp and Trip Advisor.

Explanation of how to use card bindings to structure bot responses with both text and images.

Introduction of variables in Coze for personalizing bot responses based on user preferences.

Discussion on knowledge bases in Coze, allowing bots to access and utilize information from various data sources.

Illustration of how to create a workflow for generating NBA scores using a combination of skills and nodes.

Explanation of using workflows to create a consistent art style for image generation with Dolly 3 plugin.

Description of triggers and their use for setting up timed or event-based actions within a bot.

Introduction to databases in Coze as a tool for organizing information and managing data within a bot's environment.

Explanation of single and multi-user modes in databases and their respective use cases.

Overview of multi-agent mode, which allows multiple bots to collaborate on tasks by specializing in different skills.

Guidance on publishing a bot to various platforms and the Coze store, including how to generate a change log.

Invitation to join the Coze Discord server for community support, sharing creations, and asking questions.