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Home/Knowledge base/ByteGPT/GPT Suppliers/re:tune – AI application building platform

re:tune – AI application building platform

68 views 0 Updated on 28/06/2024

You pay for the app (it has a Lifetime plan). Pay API for messages from respective GPT models (e.g. OpenAI). Good customization and average content management. Access the website here.

API search

List of chatbots within re:tune
In "Chatbots", click on the Chat you want to search for "Retune chat" and "Retune Key", in this case I am using the chat called "Tutorial"
configuration screen
When opened in the list of items click on "API"
API keys screen within re:tune
Now in "Get all threads", click copy (where the arrow is indicating) and send us this script

re:tune - Overview (English)

Activate Subtitles in Portuguese, in the video settings.

Video Summary

In the video, re:tune, a platform for building AI applications, is presented. There is no need to write code, as the platform has an intuitive interface. It is possible to create an AI chatbot, integrate it with different platforms and customize it according to the user's needs. The video covers the following topics:

  • Introduction to re:tune as a platform for building AI applications.
  • Chatbot demonstration and creation of a new chatbot to assist in learning programming.
  • Platform settings, where the OpenAI and Claude API keys are entered.
  • Creating prompts from short descriptions and generating conversations through topics of interest.
  • Chatbot customization options, such as choosing templates and limits on input and output tokens.
  • Publishing the chatbot on a website using a snippet code provided by the platform.
  • Using the embedding section to create vector representations of text data, such as books or documents.
  • Demonstration of data query and search within an embedding.
  • Connection of the embedding created with the chatbot and the possibility of asking specific questions about the content.
  • Using the usage page to check requests made to the OpenAI API.
  • Explore the playground page where you can create and manage finely tuned datasets and AI models.
  • Introducing the rewards section, which allows users to request custom integrations in addition to the platform's core functionalities.
  • Ending the video with a summary of the main topics covered in re:tune.
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