Webinar giúp bạn "Hiểu và ứng dụng cơ bản Workflow Coze AI"

The speaker begins by addressing the audience and stating the purpose of the session, which is to share and discuss a basic Customer Order Data (COD) workflow. They mention that many people have signed up for this session and express gratitude. The speaker emphasizes the seriousness of the attendees and outlines the agenda for the session, which includes an overview of the workflow, its utilities, elements, and a Q&A segment. They also mention that they will be demonstrating the application of the workflow through a blog and discuss the importance of understanding the workflow for future sessions.

The paragraph focuses on the intricacies of creating a workflow and the importance of variable declaration within it. The speaker highlights the need to avoid spaces or special characters in variable names when working within a code segment. They delve into the process of defining input and output blocks, and the necessity of declaring variables carefully. The speaker also discusses how to extract variables from user inputs, such as names and phone numbers, and how to store them for use within the workflow. They stress the importance of understanding how to input data into the workflow and the need to be patient and ask questions if something is unclear.

The speaker discusses the use of different AI models for processing data within the workflow. They compare models like GBT 3.5, GBT 4, and GPT 4, explaining the suitability of each for specific tasks such as data formatting, content creation, and handling large datasets. The speaker also touches on the cost implications of using these models and provides guidance on choosing the right model based on the task's complexity and the desired balance between performance and cost-effectiveness.

The speaker provides a detailed analysis of the costs associated with using various AI models. They discuss the affordability of the GBT 3.5 model for tasks like data extraction and formatting, and contrast it with the higher costs of more advanced models like GPT 4 suitable for creative tasks. The paragraph also includes a practical example of how the speaker tests different models with a sample input to demonstrate their outputs and associated costs, emphasizing the importance of selecting the most cost-effective model for each job.

The speaker explains how to apply knowledge within the workflow and when to use different models for various tasks. They discuss the use of models like GBT 4 Turbo for handling large datasets and the cost-saving benefits of using GBT 3.5 for simpler tasks. The speaker also shares their experience on when to use GPT 4 for creative content generation and provides a demonstration of how to integrate these models into the workflow for optimal results.

The paragraph covers the interaction with databases within the workflow and the use of the 'Set Variable' function. The speaker discusses the need to declare variables before using them and the importance of handling database operations with SQL. They also mention the challenges of working with large datasets and the potential applications of the 'Set Variable' function in streamlining data management and workflow processes.

The speaker delves into advanced techniques for working with workflows, emphasizing the importance of logic and chaining processes. They discuss the potential of using plugins to simplify tasks and the speaker's experience in building and using such plugins. The paragraph also includes an invitation for audience members to share their challenges and experiences, and an assurance that the speaker will address these in future sessions. The speaker encourages the use of descriptive posts and sharing of screenshots for better assistance.

The speaker addresses a participant's challenge with managing a large volume of sales data and provides insights into how data analysis can optimize business operations. They suggest building a data warehouse and consolidating customer data from various sources to improve customer care and sales. The speaker also proposes strategies for leveraging existing customer data to boost sales and offers support in developing solutions tailored to the participant's needs.

The speaker discusses the process of handling and analyzing large datasets, particularly focusing on the use of Google BigQuery for efficient data processing. They share their experience in integrating data from various sources like Google Sheets and other platforms, and the challenges of working with APIs. The speaker also mentions the upcoming webinar and the importance of testing and stability in API usage, encouraging participants to stay tuned for further updates and demonstrations.