Integrations
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How to train AI with your website data using ChatBot
** We recommend using the RAG Vector Knowledge Base approach. Please follow the article for how to set up your RAG Vector Knowledge Base with your pages, posts, custom post types, PDF, MSWORD, CSV, XML, Site Map, PDF upload, PDFs from Media Library, Google Docs, Google Sheets, and keep them synchronized and use the Knowledge […]
How to create OpenAI API Key
The OpenAI API uses API keys for authentication. Visit your API Keys page to retrieve the API key you’ll use in your requests.Remember that your API key is a secret! Do not share it with others or expose it in any client-side code (browsers, apps). Production requests must be routed through your own backend server […]
How can I Fine Tune or Train my own OpenAI?
To train Open AI a. To train or fine tune a model, 1st you need to: Gather the necessary data you want to train with Format the data correctly according to OpenAI API requirements (Download sample data format to see how it works). A dataset should have a at least 500 rows to offer useful […]
Frequency Penalty
Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model’s likelihood to repeat the same line verbatim.
Getting Started with OpenAI
Once you add the OpenAI API key, it should already start working for generic questions. Open a new browser window in Incognito mode and test by asking “What is the capital of Russia?” Please make sure DialogFlow is Disabled if you want OpenAI to work You can upload your own training date as a […]
My OpenAi does not work
Please check your settings( i.e: Api keys, Max token etc.). Depending on the model (GPT3 was maximum 4000 other is 1,951 ) used, requests can use up to 4097 tokens shared between prompt and completion. If your prompt is 4000 tokens, your completion can be 97 tokens at most. Also check the dialogflow is inactive. […]
OpenAI Settings
There are options for Open AI Settings. The settings are AI Settings, there are the dropdown options to select.
Presence Penalty
Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model’s likelihood to talk about new topics.
Tempareture
One of the most important settings is called temperature.When the temperature is above 0, submitting the same prompt results in different completions each time.Remember that the model predicts which text is most likely to follow the text preceding it. Temperature is a value between 0 and 1 that essentially lets you control how confident the […]
