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How To Train ChatGPT On Your Own Data (Creating A CustomGPT)

3 August, 2024

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Delphi TeamAuthor
How To Train ChatGPT On Your Own Data (Creating A CustomGPT)

Are you ready to add your personal touch to the world of AI voice cloning? Think of being able to train ChatGPT with your data, creating unique and tailored interactions that reflect your personality and preferences. If you're eager to explore the possibilities of voice cloning and chatbot training, this guide is just what you need to get started.

Want to effortlessly train ChatGPT with your data and make it truly yours? Delphi's digital clone is here to help. This innovative tool can help you shape your chatbot's responses, insights, and personality, ensuring your interactions are as authentic as possible.

What Is ChatGPT?

ChatGPT is like a virtual assistant that you can chat with about almost anything. Imagine conversing with a knowledgeable friend who can help you brainstorm ideas, answer questions, or discuss your favorite topics.

OpenAI builds it and is designed to understand and generate human-like text based on your input. Whether you're looking for help with writing, need answers to tricky questions, or just want some company, ChatGPT can lend a hand. It's pretty versatile, too—it can assist with anything from drafting emails to explaining complex concepts, all through a simple chat interface.

Since its release in November 2022, ChatGPT has taken the world by storm. This transformative AI chatbot can understand natural language prompts and generate human-like responses on any topic imaginable. One of the most exciting capabilities unlocked by ChatGPT in the recent OpenAI dev day event is the ability for anyone to create customized AI models, known as GPTs, without needing to code.

Reveal the Genius of GPT

GPT, which stands for Generative Pre-trained Transformer, is a powerful language model developed by OpenAI. It can generate human-like text responses based on the input it receives. With the release of OpenAI's GPT Builder, users can now create customized GPTs tailored to their specific needs and goals. GPT models, like the recently announced GPT-4 Turbo, are transformer-based language models pre-trained on a large text corpus and can be fine-tuned for various natural language processing tasks.

OpenAI created it and has undergone several iterations, from GPT-1 to GPT-4. Each version is larger and more capable than the last. GPT models are trained to predict the next word in a sequence, allowing them to generate coherent and fluent text. Fine-tuning a GPT model on a smaller dataset will enable it to perform very well on specialized NLP tasks like text generation, summarization, and question-answering.

The model is trained to be helpful, harmless, and honest through human feedback. ChatGPT can answer follow-up questions, admit mistakes, challenge incorrect premises, and reject inappropriate requests. It is designed to be a generalist conversationalist on nearly any topic, though its knowledge cut off in March 2023.

The Power to Customize Your AI Assistant

During the OpenAI Dev Day, the company announced that users can now create their GPTs. You can customize These versions of ChatGPT for a specific purpose. The technology allows anyone to create a custom version of ChatGPT to help with tasks and productivity.

With GPT Builder, you can train ChatGPT on your data, tailoring its responses to your unique needs. This innovative feature empowers users to create specialized AI models, enhancing ChatGPT's capabilities and adaptability. Whether you're looking to streamline your business processes or optimize personal productivity, training ChatGPT on your data opens up a world of possibilities.

ChatGPT has already revolutionized the way we interact with AI, and with the ability to train it on your data, the potential for customization and personalization is limitless. Take advantage of this fantastic opportunity to enhance your AI experience and unlock the full potential of ChatGPT.

Benefits Of Having A Personal Chatbot

Tailored to your business needs

Custom training allows you to fine-tune the chatbot to address specific industry requirements, business processes, and customer needs. Unlike generic chatbots, which may not fully understand your business or you, a custom-trained chatbot can provide highly relevant and accurate responses to customer queries.

Improved customer engagement

A custom-trained chatbot can provide a more personalized and efficient customer experience. For instance, with Delphi cloning software, you can clone your expertise, so responses given to your customers will be more tailored and based on your expertise and knowledge. By understanding your unique customer base, it can easily offer tailored recommendations, product information, and increased support. It can also relay your brand’s tone and voice, creating a seamless, on-brand interaction that resonates with your audience.

Increased efficiency and cost savings

Another benefit of training a chatbot on your data is that it can learn from historical data, customer interactions, and specific workflows. It can automate tasks, answer frequently asked questions, and handle routine inquiries more effectively. As a result, your business can reduce operational costs and focus on more complex & valuable tasks.

Relevant data insights and analytics

Custom-trained chatbots provide valuable insights into customer behavior and preferences. They can collect and analyze data from interactions, helping you identify trends, pain points, and opportunities. These insights can help you make decisions that will ultimately drive business growth.

Enhanced employee experience

Another great reason to build a custom AI chatbot is that you can equip it with vital company details such as leave policies, promotion criteria, hiring procedures, and more! This chatbot can then serve as an efficient HR assistant, offering guidance and promptly providing employees with the necessary information. Instead of investing valuable time searching through company documents or awaiting email replies from HR, employees can effortlessly engage with this chatbot to swiftly obtain the information they seek.

Create Your Digital Clone With Delphi

Delphi’s digital cloning platform allows users to capture their unique style, voice, and expertise, enabling them to scale personalized 1-1. Delphi enables content creators, coaches, influencers, CEOs, executives, and more to scale/clone their expertise. Preserve your knowledge and wisdom, and mass personalize communications with Delphi.

Delphi's mentorship as a service allows knowledge-based professionals to clone themselves (texting, calling, video calling) with audience management features such as mass messages, hop-in conversations, alerts, analytics, and content strategy data. Get started and create your digital clone for free today.

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How To Train ChatGPT On Your Own Data (Creating A CustomGPT)

Custom GPTs are like specialized mini versions of ChatGPT that you can tailor to fit specific needs. Think of them as a way to supercharge ChatGPT's abilities with targeted knowledge.

If you're looking for help with complex business decisions, you can create a Custom GPT. Uploading your business data and configuring the GPT with relevant information gives it the context it needs to offer insightful advice. 

This means you can get recommendations that are grounded in ChatGPT’s general expertise and the specifics of your business scenario. In essence, Custom GPTs let you harness the power of AI for very focused tasks, making it easier to get the exact help you need.

To create a Custom GPT, the first step is to sign up for a ChatGPT Plus subscription at chat.openai.com if you still need one. A Plus subscription costs $20 per month (note that subscriptions are temporarily suspended at the time of writing).

1. Once you have a Plus subscription, Create a New GPT and Provide Base Instructions.

  • Go to chat.openai.com and log into your Plus account
  • Click Explore on the left-side menu. This will bring you to the "My GPTs" page.
  • Click Create GPT on the page, and the GPT builder page should appear. This is where you will set up your GPT by giving it a purpose, uploading data, and training it.
  • On the GPT builder page, provide a name and description for your model to define its purpose. For this guide, we will be creating a GPT to help guide customers through the process of renting a car from a local rental agency called ChicCars.
  • In the interactive editor, you must prompt the GPT builder by describing exactly what the GPT will do. We will use the prompt: “I'd like you to serve as a knowledgeable advisor, assisting customers in choosing the ideal rental cars. Your role is to steer them towards decisions that benefit both the company and the customer, ensuring the best possible choices.”
  • Provide any additional information necessary for the GPT builder to know more about what you want it to do.
  • Tap the Configure button at the top of the interactive GPT builder to reveal the configuration options. Here, you can change the name of your GPT or provide additional instructions.

2. Upload Training Data and Test Your Chatbot

  • Scroll down to the bottom of the configuration options and click on Upload files to upload the data needed to train the GPT. For this demonstration, we uploaded a text file with data on ChicCars.
  • When you have finished uploading data, click the Save button in the top right corner. Select the desired visibility for your trained GPT, such as Only people with a link, and click Confirm to finalize creating your trained Custom GPT. This should synchronize the data you uploaded with the interactive GPT builder.
  • Click "View GPT" in the drop-down menu to start interacting with your trained model.
  • Ask the trained model a question on the subject you trained in to see the results.

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Limitations Of Custom ChatGPT

Creating a Custom GPT is a straightforward way to build an AI assistant tailored to your needs without requiring any coding. You can deploy a specialized chatbot in just minutes by training an instance of ChatGPT with your data. However, these custom models do come with limitations.

Integration Challenges

Relying on Custom GPTs as a low-code or no-code solution for business tasks like customer support chatbots may not deliver the desired outcomes. There are uncertainties around seamlessly integrating a Custom GPT hosted on ChatGPT's platform into your business workflows, operations, and touchpoints.

Access Barriers

Customers need their ChatGPT Plus account to use your custom GPT chatbot. This added friction means you can't rely on it as a scalable customer support channel if customers don't have accounts.

Data Privacy Risks

It's crucial to note that any training data used for your Custom GPT could potentially be accessed by anyone with a link to the model, potentially exposing sensitive business or personal data.

Data Security Issues

By default, OpenAI may utilize conversation logs from Custom GPT deployments to advance its AI models. This means proprietary business data or personal info could enter the public domain through OpenAI's model training pipelines.

Building And Training Your Clone With Delphi

Sign Up

To create your personal AI clone with Delphi, head to the Delphi website and create an account. This will allow you to access the platform and start the process of building and training your digital clone.

Profile Setup

Once registered, it's time to complete your personal and professional details to create a comprehensive profile. This step is crucial as it helps Delphi understand your background, expertise, and unique characteristics that will be mirrored in your AI clone.

Gather Data that AI Will Use

Collecting the right data is key to shaping the capabilities of your AI clone. Delphi allows you to feed your clone with specialized information that it wouldn't have access to otherwise. This can include data from various sources, such as text documents, URLs, sitemaps, or Q&A-formatted content. Providing your AI with this data can better replicate your decision-making style and knowledge.

Uploading and Training

After gathering the necessary data, it's time to upload it to Delphi and start the training process. The AI will analyze your voice data and learn to mimic or clone it. This step is essential in helping your AI clone think, talk, or sound like you.

Fine-Tuning and Testing

Once the initial training is complete, it's time to fine-tune your AI clone. By adjusting settings and parameters, you can enhance its accuracy and performance. Testing the AI by generating sample audio and comparing it to your original recordings will help you make necessary adjustments until you are satisfied with the result.

Deploy and Integrate

With your AI clone ready, it's time to deploy and integrate it into your chosen platforms. Whether you want your clone embedded on your website, integrated with your API, or on social media platforms like Slack, Instagram, TikTok, or email, your Delphi clone can effectively engage with your audience and mirror your expertise.

Vital Things To Consider While Training An AI Chatbot With Your Data

Accuracy is Key

When training an AI chatbot with personal data, ensuring the accuracy and reliability of the information provided is paramount. If the data is inaccurate, the chatbot may generate incorrect responses, frustrating user experience. Using accurate and reliable data sets a solid foundation for your chatbot to provide helpful and precise interactions. 

Consistency Matters

Consistency in the data you feed your chatbot is essential for seamless interactions. Inconsistencies can confuse the chatbot, causing it to provide conflicting responses. A chatbot trained on consistent data will more likely provide accurate and coherent responses to user queries. 

Stay On-Topic

Staying on-topic when training your chatbot helps it to be more effective and relevant to users. Providing data directly related to the chatbot’s intended purpose ensures that it can deliver appropriate responses, enhancing the overall user experience.

Avoid Irrelevant Information

Excluding irrelevant information during the training process is crucial for maintaining focus and efficiency. You can ensure that the training remains targeted and effective by omitting data that does not align with your chatbot’s goals.

Include Diverse Examples

Incorporating a range of examples and scenarios is beneficial for helping your chatbot handle various types of questions and inputs. Diverse examples can improve the chatbot’s ability to understand and respond to a broad spectrum of user interactions.

Cover Multiple Contexts

By including various contexts and situations in your training data, you equip your chatbot to respond effectively to different scenarios. This versatility allows the chatbot to handle a wider range of user queries and interactions.

Provide Sufficient Data

Ensuring your chatbot has enough data to learn from is crucial for its development. Adequate data volume enables the chatbot to learn effectively without causing performance issues. Balancing the amount of data provided is critical to achieving optimal training results.

Manageable Amounts

Regularly reviewing and updating your data helps keep your chatbot relevant and useful. Avoid redundant or excessive data that does not contribute to your training goals. Maintaining manageable amounts of data ensures that the chatbot’s training remains focused and productive.

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Create Your Own Digital Clone with Delphi Today

Delphi’s digital cloning platform allows users to capture their unique style, voice, and expertise, enabling them to scale personalized 1-1. Delphi enables content creators, coaches, influencers, CEOs, executives, and more to scale/clone their expertise, time, and availability. Preserve your knowledge and wisdom, and mass personalize communications with Delphi.

Delphi's mentorship as a service allows knowledge-based professionals to clone themselves (texting, calling, video calling), with audience management features such as mass messages, hop-in conversations, alerts, analytics, and content strategy data. Get started—create your own digital clone for free today.

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