Prepare data for building chatbot

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VoiceLab.AI, leader in Conversational AI now brings TRURL, an instruction-following large language model (LLM) which has been fine-tuned for number of business domains such as e-commerce and customer support.

TRURL brings additional support for specialized analytical tasks:

Dialog structure aggregation

Customer support quality control

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Trained securely on your infrastructure

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Vencode harnesses TRURL to build a company chat system, seamlessly integrating information from provided documents and the website for enhanced communication within the organization.

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Natural Language Processing

Prepare data for building chatbot

VoiceLab AI

20/03/2023

Obtaining data to build effective chatbot

Are you having trouble dealing with all of the customer service required for your business to run? Or maybe it is simply taking too much time? Well, a very common choice is to develop a chatbot that will take the burden of your arms. However, it is not that simple. Building a good bot requires a great insight into your customer contacts and it is not an easy task to carry out manually. This notebook will show you how you can automatically extract a lot of useful data to help you achieve your goal of automated customer service.

The rest of the article is available on the link below: https://colab.research.google.com/drive/1wj8MJivIuNq04pBtPqW_FnCDfpgCnbWL#scrollTo=a14fba00

(NOTICE) In order to be able to use the notebook and send requests to our services, you have to upload a 'credentials.ini’ file to the runtime workspace (the main directory, next to sample_data folder). You can obtain one by getting in touch over at https://voicelab.ai/contact.