ChatGPT模块自动化你的流程

Table of Contents

• Introduction
• Housekeeping Notes
• Upcoming Training Events
• Webinar Schedule
• What Are Large Language Models?
• OpenAI and Other Companies
• Applications of Large Language Models
• Test Data Generation Use Case
• User Stories and Acceptance Criteria Use Case
• Gong Transcripts and Questions Use Case
• Conclusion

Introduction

Welcome to the Decisions webinar on automating processes with the chat GPT module. In this webinar, we will cover the use cases and potential of large language models, specifically chat GPT. Throughout the webinar, we will demonstrate how Decisions, a no-code software development platform, can integrate with chat GPT to automate various tasks and processes. Our team will present three different use cases, including test data generation, user stories and acceptance criteria creation, and extracting insights from gong transcripts. Additionally, we will provide information on upcoming training events and webinars. So, let's dive in and explore the possibilities of automating with chat GPT and Decisions.

Housekeeping Notes

Before we begin, let's cover some housekeeping notes for the webinar. Firstly, allow us to introduce ourselves: Gord Jones, CEO of Decisions, along with colleagues Blake, Denisha, Derek, and Josiah. We would like to inform You about some upcoming training events, such as the Submerse or Deep Dive Training in Denver and Sydney. These training events offer beginner and master class tracks, ensuring valuable insights for everyone. Furthermore, we have scheduled webinars on accelerating use cases and exploring no-code with a human touch. You can find more information and sign up for these events on our Website.

Upcoming Training Events

Mark your calendars for our upcoming training events. Join us in early August for the Submerse or Deep Dive Training in Golden, Colorado, near Denver. Experience a comprehensive training program at the Table Mountain Events Center, and don't miss the opportunity to tour the famous Coors Brewery. If August is not convenient for you, consider joining us in Sydney, Australia, from August 29th to 31st. These training events cater to both beginners and experienced individuals, guaranteeing knowledge enhancement and skill development. Don't forget to secure your spot by signing up on our website.

Webinar Schedule

To keep you informed about our upcoming webinars, we would like to provide you with a sneak peek of our webinar schedule. Later this month, we will hold a webinar on accelerating your use cases. Our Solutions team will present various tools and techniques to expedite your development process. Additionally, in July, we will host a webinar on no-code with a human touch, focusing on meeting end user needs effectively. These webinars promise valuable insights and practical tips for maximizing the potential of chat GPT and other automation tools. Visit our website to register for these webinars and stay up to date with our events.

What Are Large Language Models?

Before we explore the use cases, let's take a moment to understand large language models and their significance. Large language models, such as chat GPT, are built using techniques like reinforcement learning and human feedback on massive amounts of data. These models have the capability to understand and generate human-like text, making them powerful tools for language-related tasks. The recent advancements in hardware and the availability of big data have propelled the development of these models. Various companies, including OpenAI, Google, Microsoft, and others, have released their own large language models. There are also open-source language models available for experimentation and customization.

OpenAI and Other Companies

OpenAI, along with other companies like Google, Microsoft, Anthropic, Amazon, Facebook, and Baidu, has played a significant role in advancing large language models. OpenAI's models, such as chat GPT, have gained popularity due to their exceptional capabilities. These models have a strong foundation built upon extensive training with diverse data sources. Additionally, companies are also building private models using internal data, providing more customized and secure options for specific use cases. The availability of open-source models further empowers developers to Create their own specialized models. The landscape of large language models is rapidly evolving, with more companies and tools emerging to cater to the growing demand.

Applications of Large Language Models

Large language models have found applications in various fields, and their potential is immense. Developing chatbots, coding assistance tools, legal contract analysis, content generation, and workflow automation are just a few examples. In this webinar, we will demonstrate how Decisions leverages chat GPT for automation in three specific use cases. These use cases cover test data generation, user stories and acceptance criteria creation, and extracting valuable insights from gong transcripts. Through these examples, we aim to showcase the versatility and effectiveness of large language models in streamlining processes and enhancing decision-making.

Test Data Generation Use Case

In our first use case, we will explore test data generation using chat GPT and Decisions. Test data plays a crucial role in software development, ensuring the quality and effectiveness of applications. Traditionally, generating test data can be a time-consuming and cumbersome process. However, chat GPT offers a remarkable solution by automating data generation with precision and ease. By defining specific data types within Decisions, you can leverage chat GPT to create realistic test data in various formats, such as tabular, CSV, or JSON. This use case demonstrates how the integration of chat GPT with Decisions simplifies test data generation, streamlines the testing process, and enhances overall software quality.

User Stories and Acceptance Criteria Use Case

Our Second use case focuses on the creation of user stories and acceptance criteria using chat GPT and Decisions. In the software development lifecycle, user stories and acceptance criteria are vital components for effective requirements gathering and project management. Traditionally, writing user stories and acceptance criteria can be a time-consuming and manual process. However, chat GPT presents an opportunity to automate and expedite this task. By providing Relevant background information and Prompts, chat GPT can generate comprehensive user stories and acceptance criteria. Decisions serves as the platform to seamlessly integrate chat GPT and facilitate the efficient creation of user stories and acceptance criteria. This use case demonstrates how the collaboration between chat GPT and Decisions empowers agile development practices, enhances requirement specifications, and accelerates project delivery.

Gong Transcripts and Questions Use Case

The third use case showcases the extraction of valuable insights from gong transcripts using chat GPT and Decisions. Gong, a revenue intelligence platform, records meeting transcripts and provides AI-generated summaries. Extracting useful information from these transcripts, such as key takeaways and questions asked, allows organizations to gain valuable business intelligence and refine their sales strategies. By integrating gong with Decisions, you can automate the process of extracting insights from transcripts. This use case demonstrates how Decisions interacts with gong APIs, leverages chat GPT for text processing, and seamlessly integrates with Salesforce to store and manage valuable sales data. With this automation in place, organizations can enhance their sales enablement efforts, improve customer interactions, and drive revenue growth.

Conclusion

In conclusion, today's webinar offered a glimpse into the potential of large language models, specifically chat GPT, and its integration with Decisions. We explored three use cases, including test data generation, user stories and acceptance criteria creation, and extracting insights from gong transcripts. These use cases showcased the significant advancements large language models offer in automating processes, enhancing efficiency, and driving informed decision-making. As the field of large language models continues to evolve, Decisions remains committed to providing a powerful and user-friendly platform for integrating and leveraging these models for automation and optimization. Stay tuned for more updates, training events, and webinars from Decisions as we strive to empower organizations and individuals with cutting-edge technologies.

Highlights

• Decisions webinar on automating processes with chat GPT module
• Upcoming training events in Denver and Sydney
• Webinars on accelerating use cases and no-code with a human touch
• Large language models and their significance
• OpenAI and other companies in the landscape of large language models
• Applications of large language models in various fields
• Test data generation use case demonstrating automation and ease of generating realistic test data
• User stories and acceptance criteria use case highlighting the automation of writing and managing requirements
• Gong transcripts and questions use case showcasing the extraction of insights from meeting transcripts for sales enablement
• Decisions' commitment to providing a powerful platform for integrating large language models and driving automation

FAQ

Q: Can chat GPT be used to build workflows within Decisions? A: Currently, chat GPT does not support integration with Decisions workflows. However, Decisions is constantly evolving, and there may be future developments in this area.

Q: How much time did it take to build the user stories and acceptance criteria automation? A: The development for the user stories and acceptance criteria automation took approximately 10 hours, including the time spent on tweaking the chat GPT prompts.

Q: How much time was invested in the gong transcripts and questions use case development? A: The development for the gong transcripts and questions use case took about 40 hours, with additional time spent on troubleshooting and refining the process.

Q: Can chat GPT be used to generate large amounts of test data? A: Yes, chat GPT can be used to generate large amounts of test data. However, generating a significant volume of data may take more time and may require tweaking the prompts and formatting to ensure the desired results.

Q: How is data security ensured when using chat GPT to generate data? A: Currently, data generated using chat GPT may be used for training purposes by the model providers. It is recommended to avoid using sensitive data in the generation process. As the technology develops, secure methods and private models are being introduced to protect data privacy.

Q: Is it possible to generate data using chat GPT without compromising production data? A: Yes, it is possible to generate test data using chat GPT without compromising production data. By defining specific data types and carefully choosing prompts, you can generate realistic test data based on controlled parameters.

Q: Can the workflow demonstrate the automation of user story and acceptance criteria creation in Decisions? A: While the workflow does not demonstrate the automation of user story and acceptance criteria creation in Decisions, it showcases the integration of chat GPT for efficient generation of requirements. The automation of user stories and acceptance criteria can be further explored using Decisions' capabilities and chat GPT's text generation.

Q: Can chat GPT be utilized within Decisions for workflow automation? A: Currently, chat GPT does not directly support integration with Decisions for workflow automation. However, there are potential avenues for further exploration and development in this area.

Q: Is it possible to use chat GPT to automate the creation of user stories and acceptance criteria within Decisions? A: Yes, chat GPT can be utilized within Decisions to automate the creation of user stories and acceptance criteria. By providing relevant background information and prompts, chat GPT can generate comprehensive requirements that align with project specifications.

Q: Can Decisions integrate with other platforms to extract insights from meeting transcripts, similar to the gong use case? A: Yes, Decisions can integrate with various platforms and APIs to extract insights from meeting transcripts. The gong use case showcases the possibility of automating the extraction and analysis of meeting data, and similar integrations can be established for different platforms.