GPT Trainer is an AI chatbot builder that allows users to create context-aware chatbots using their own data. It supports various data input methods, including direct upload, cloud drive import, URL scraping, and text input. The chatbots can be embedded on websites or used in Slack, making it a versatile tool for businesses and individuals alike.
GPT-trainer - AI Chatbot over Your Own Data
Create your own AI helper that gives you the information you need, whenever you need it. You don't need to know how to code!
Introduction
Feature
Data Integration and Storage
- Upload data directly or import from cloud drives
- Automatic URL scraping for content
- Direct text input option
- Data stored on AWS servers in Oregon, USA
Multilingual Support
- Utilizes OpenAI's GPT-3.5 and GPT-4 models
- Supports over 95 languages
Flexible Data Format
- Accepts various text document formats (.pdf, .docx, .txt, .md, .tex)
- URL scraping for text content
- Direct text input
Customizable GPT Model Selection
- Currently offers GPT-3.5-turbo and GPT-4
- Plans to add more LLMs in the future (e.g., Google Bard, Meta LLaMA, Anthropic Claude)
Easy Integration
- Embed chatbots on websites
- Use chatbots in Slack
Affordable Pricing
- Free extension with 20 GPT-4 conversations per day
- Subscription options available for higher usage
Versatile Applications
- Customer support
- HR and onboarding processes
- Language translation
- Documentation assistance
FAQ
Where is my data stored?
Data is stored on Amazon Web Services (AWS) servers located in Oregon, USA.
Does it support other languages?
Yes, GPT Trainer supports over 95 languages, leveraging the multilingual capabilities of OpenAI's GPT models.
What data formats are supported?
GPT Trainer supports most text document formats, including .pdf, .docx, .txt, .md, and .tex. It also allows URL scraping and direct text input.
Which GPT models are used?
Currently, GPT Trainer offers GPT-3.5-turbo and GPT-4 as options, with plans to add more LLMs in the future.
Can I share a chatbot I created?
While not explicitly stated, you can embed the chatbot on your website or use it in Slack, which suggests some level of sharing capability.
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