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I'm working on a project for a client who wants to integrate an AI chatbot into their website. The chatbot should be able to handle customer inquiries, provide information about services, and assist with common tasks.

I've integrated a basic chatbot on a client's website, but they now want to upgrade to a more advanced AI chatbot. I'm facing some specific challenges and would appreciate your advice.

Here are some issues where I'm totally stuck:

The current chatbot struggles with accurately understanding complex queries. What are the best Python libraries or pre-trained models to improve Natural Language Understanding? I've considered using SpaCy and Hugging Face's Transformers, but I'm unsure how to implement them effectively.

client wants features like sentiment analysis and context retention across conversations. Any recommendations on implementing these features in Python? Are there specific models or libraries that work well for these tasks?

Ensuring the chatbot runs efficiently with low latency is crucial. What are best practices for optimizing performance in a Python-based chatbot? Are there specific techniques or tools to improve response times and handle high traffic?

Here is the site I'm working on, offering services for link removed.
Chat GPT only has information before 2021 so it is quite outdated
geometry dash breeze
Yes, the free version of GPT-3 is still limited to a static database last updated in 2021. However, current GPT-4 and GPT-4o versions have access to the internet (available for Paid subscribers only though).
Any particular reason why you are building an AI chatbot from scratch?

https://www.google.com/search?client=fir...or+website

There are tons of AI chatbots out there that are plug and play for a website... if you're going this for a client using a plug and play one is cheaper and faster, unless you have very specific requirements that necessitate you building your own.
(May-30-2024, 04:39 PM)LauraB Wrote: [ -> ]I'm working on a project for a client who wants to integrate an AI chatbot into their website. The chatbot should be able to handle customer inquiries, provide information about services, and assist with common tasks.

I've integrated a basic chatbot on a client's website, but they now want to upgrade to a more advanced AI chatbot. I'm facing some specific challenges and would appreciate your advice.

Here are some issues where I'm totally stuck:

The current chatbot struggles with accurately understanding complex queries. What are the best Python libraries or pre-trained models to improve Natural Language Understanding? I've considered using SpaCy and Hugging Face's Transformers, but I'm unsure how to implement them effectively.

client wants features like sentiment analysis and context retention across conversations. Any recommendations on implementing these features in Python? Are there specific models or libraries that work well for these tasks?

Ensuring the chatbot runs efficiently with low latency is crucial. What are best practices for optimizing performance in a Python-based chatbot? Are there specific techniques or tools to improve response times and handle high traffic?

Here is the site I'm working on, offering services for link removed.

Custom AI Solutions Just for You 🛠️🤖

Hi LauraB,

What’s a Python developer’s favorite movie? “The Matrix” – because it’s full of code! 🧩

I’ve seen the engaging conversations on the forum about AI. I’d like to offer a custom AI chatbot solution using our AI Humanizer tool to enhance user interaction and support on your forum. https://poe.com/AI-Humanizer-Free
This could be a unique addition that sets your community apart.

Best,
[Siska Deviana]