freesam
Joined 4 years ago
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Jun 20
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Comment · 1 year ago
Comment · 2 years ago
We want to share our implementation of the realtime voice-to-voice API with RAG to integrate the AI chatbot with your own knowledge base. You can follow our example to build your own realtime voice-to-voice AI chatbot with your own knowledge base .
https://www.chat-data.com/blog/create-your-own-realtime-voic...
Here is the Youtube video to show how it works:
https://www.youtube.com/watch?v=Ol7X7O9BrCY
You can also expierience it directly here: https://www.chat-data.com/chatbot-iframe/654aee418bc9a33b0e5... 1
Comment · 2 years ago
Create a Personalized Experience by Syncing Our AI Chatbot with Your Website!
We’re excited to announce a new feature that enables bidirectional communication between your website and our AI chatbot, enhancing the experience for every visitor!
Here’s how it works:
Seamless User Data Syncing
If your website supports user authentication, you can use the postMessage API to transmit user information to the chatbot upon successful login. This means no more redundant data collection! For example, if you have diagnostic tools generating user-specific metrics, the chatbot can follow up on those insights.
Try It Out!
Visit our Demo Website ( https://openai-assistant-demo.chat-data.com/ ) and see the magic unfold! For instance, if the chatbot knows the user's lucky number is 934383, it can respond accurately to questions like "What’s my name?" or "What’s double my lucky number?" This showcases the power of syncing user data for a tailored experience.
Real-Time Communication
When you embed our chatbot as a widget or iframe, you can receive real-time events such as chat, live-chat-escalation, minimize-widget, and lead-submission. This allows for dynamic interactions that enhance user engagement on your site.
Interested in Implementing This?
Check out our comprehensive documentation ( https://cookbook.chat-data.com/docs/postmessage-events ) on how to get started. We’d love to hear your thoughts or assist you further!
Comment · 2 years ago
Here, we use the OpenAI assistant API Math tutor example (https://platform.openai.com/docs/assistants/quickstart ) to create a math tutor.
In the website link ( https://openai-assistant-demo.chat-data.com/ ), you can input your personal information, for example, "My lucky number is 889837"
Then you asked the math tutor, "What is double of my lucky number"
The chatbot will reply
# Defining the lucky number lucky_number = 889837
# Calculating the double of the lucky number double_lucky_number = lucky_number * 2 double_lucky_number The double of your lucky number, 889837, is 1,779,674.
It means that you can directly pass the personal information of your customer to your open AI assitant API to create a personalized experience.
Comment · 2 years ago
With the advances of the LLM technology, the ideal customer support flow should be like this
Here is how the work flow works:
1. The customer interacts with the AI chatbot to receive responses on the website.
2. The AI chatbot can instantly answer most(suppose 80%) of queries. However, some corner cases ( suppose 20%) may require human intervention.
3. In such cases, the customer can click the "live chat escalation" button to request human support. The human agent receives an email notification with a unique handling URL. This
4. URL is whitelabeled, allowing the agent to handle the query without logging into Chat Data.
5. If the customer is still on the chat widget, the agent and the customer can communicate in real-time, similar to a chat room.
6. If the customer has left the chat widget interface, an email with a unique handling URL will be sent to remind the customer of the new message from the human agent. This email can be sent from a whitelabeled email address.
7. When the customer responds to the chat message, the human agent receives an email notification about the new messages. All emails and handling URLs can be whitelabeled and do not require a login to manage the messages.
Either human or AI chatbot alone is not the best solution for the best customer support experieince
Comment · 2 years ago
We found that gpt-4o is consistently hallucinating. Here is an example: [ https://platform.openai.com/playground/chat?models=gpt-4o&pr... ] In this case, we never mentioned any store location in Ringsted. However , gpt-4o still fakes a store in the address: Adresse: Ringstedet, Klosterparks Allé 10, 4100 Ringsted Åbningstider: Mandag-fredag: 9.30-19, Lørdag: 10-17, Søndag: 11-16 Tlf: 50603398 Email: [email protected] This hallucination is quite consistent. The gpt-4-turbo or even gpt-3.5 model doesn't have the same issue and correctly acknolwedged that there is no store in this location.
Comment · 2 years ago
OpenAI's Assistant API is becoming more and more power now. Maximize your Assistant API's potential by deploying it across multiple platforms—your website, Discord, Slack, and WhatsApp—in just 20 minutes with minimal code. We've open-sourced the code how to integrate your Assistant API with all the the four platforms with only a few lines of code within 20 mins.
1. Automatically fetch recent news articles based on randomly selected topics
2. Generate thoughtful commentary about the news Connect the news to our company's services
3. Create engaging LinkedIn posts that encourage audience engagement