Hello! We appreciate your interest in the “CustomGPT” channel. You may learn how to integrate your Custom ChatGPT Chatbot into your website by watching this video. So let’s first have a look at the complete video. Keep up to date by subscribing to this channel. Please subscribe 🙏 https://www.youtube.com/@CustomGPT
⏲️⏲️ Time Stamps ⏲️⏲️
00:00 Intro
00:03 Manage Your Chatbot Access
00:31 Share Link
01:11 Embed The Chatbot
01:50 Live Chat Embed
02:26 Outro
Discover how to supercharge your website with the power of AI by embedding your very own custom ChatGPT chatbot. Our step-by-step guide will walk you through every detail, from managing the chatbot’s access to enabling live chat support on your website or helpdesk. Learn how to navigate the user-friendly CustomGPT platform, customize your project settings, share your chatbot using links, and embed it seamlessly into your website. Experience a new level of customer interaction with this transformative tool! Don’t miss out – watch now to join the AI revolution.
To interface with the ChatGPT model, you require an API endpoint. A server-side framework such as Node.js, Python, or any other language of your choice can be used for this. Requests from your website are received by the endpoint, which then sends them to the ChatGPT model for processing.
Your specially trained ChatGPT model should be operational and reachable via the API endpoint. AWS, Google Cloud, and specialized model deployments frameworks like TensorFlow Serving and FastAPI can all be used for this.
Select the chatbot’s user interface design. The chat widget or interface that appears on your website can be made using HTML, CSS, and JavaScript. This applies to the chat window, the input box, and any additional pertinent elements.
Send user messages and get responses by sending JavaScript requests from the client-side (website) to the server-side (API endpoint). To send HTTP queries to the API endpoint, you can also utilize AJAX, the Fetch API, or other techniques.
Use JavaScript to gather user input from the chat interface and deliver it to the server. Send the user’s input to your ChatGPT model that has been deployed on the server to process it. Obtain the model’s response, then send it back to the client side.
Update the chat interface on the website to show the chatbot’s reaction once you have received the server’s response. JavaScript can be used to dynamically add new messages or change the chat window.
At CustomGPT, we’re always looking for innovative ways to provide you with better, more accurate, and reliable AI solutions. That’s why we’re thrilled to announce our groundbreaking feature – the Context Boundary!
Have you ever worried about your business’s AI chatbot straying off-topic or even giving out inaccurate information? Our latest Context Boundary feature puts those worries to rest by confining your CustomGPT’s responses strictly to your business content.
This means no more off-brand messages, no references to un-indexed data, and no unexpected surprises!
What makes this feature revolutionary?
🎯 Precision-Focused Responses: CustomGPT’s Context Boundary ensures every AI response aligns perfectly with your specific business content.
🛡️ Guard Against Off-Brand Messages: Our feature creates a firm boundary that keeps your AI strictly on-brand, eliminating the risk of misaligned responses.
⏱️ Save Time and Effort: With accurate, context-bound responses, reduce the need for manual oversight and enjoy smoother, more efficient customer interactions.
👉 Read the Blog Post: How To Stop ChatGPT From Making Things Up – The Hallucinations Problem
https://customgpt.ai/hallucinations/
Here’s to transforming the way your business engages with AI.
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👉 Read the Blog Post: How To Build A ChatGPT-4 Chatbot With Youtube Videos: https://customgpt.ai/chatgpt-youtube/
To a future full of innovation,
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CustomChatGPT: How To Embed Your Custom ChatGPT Chatbot into Your Website
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