Build your own AI chatbot with GPT-trainer. Connect your data for contextual responses. Embed on your website or use in Slack. Designed to serve a wide range of use cases, enabling you to deliver trusted information to your audience.
No code, AI chatbot builder
Build your own AI chatbot with GPT-trainer. Connect your data for contextual responses. Embed on your website or use in Slack. Designed to serve a wide range of use cases, enabling you to deliver trusted information to your audience.
Hi ProductHunt community! It's Hunter, founder of GPT-trainer. Thanks for checking out our launch! GPT-trainer is a no-code generative AI chatbot builder designed to simplify the creation, training, and deployment of chatbots customized for your own content. With GPT-trainer, you can: - Upload one or more documents to use as context for your chatbot - Control input rate limits, bot personas, and high-level large language model (LLM) behavior through a user-friendly interface - Choose from multip
Really impressive idea! Would it be okay to include your product in my directory (URL: producthunt.com/products/wikiaitools). Send us an email and we'll help you get your app listed on 100+ AI diretories.
I think this can go a long way with some adjustment. It would be really cool if y'all could upsell customers on high quality data sets to train a chatbot on. Imagine the possibilities of someone wanting to build a personal finance chatbot that can be trained on data from a source that y'all curated.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.