Data Linker - User Documentation
  • Data Linker
    • Introduction to Datalinker.AI
    • Quick-start guide on using the application
      • Signup/Registration
      • Logging In
      • Forgot Password
      • Create an Organisation
      • Create a Database, Chat Category & Assign users
      • Chat with Chat Category
      • Invite users
    • Signup & Registration
      • Manual Sign-Up
      • Invitation Sign-Up
    • Create an Organisation
      • Fill in your organisation details
    • Organization Management and User Roles
      • Organization Management
      • Inviting Users to an Organisation
      • Managing Users and Roles
      • Managing Billing & Token Usage
      • Understanding Token Usage
      • Input & Output Token Definition
      • When Tokens are Depleted
      • Topping Up Tokens
    • General setup steps
    • Create a Database
      • Creating a New Database
      • Managing Databases
    • Chat Categories
      • Adding a New Chat Category
      • Managing Chat Categories
      • Interact (chat) with the Chat Category
    • “Threads” within Chat Categories
      • What is a “Thread”
      • How should I utilise the thread function?
    • Chat Category Collaboration
    • AI Models (LLMs)
      • Switching AI Models
    • Additional information: Instruction Fields
      • Purpose of the Instruction Field
      • Shaping AI Behaviours
    • Disclaimer
  • DATALINKER - TERMS, PRIVACY POLICY
    • PRIVACY POLICY
    • TERMS OF USE
    • TERMS OF SERVICE
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  1. Data Linker

AI Models (LLMs)

DatalinkerAI has the ability to integrate different types of LLMs into the system in parallel. As of the most recent update of 27/03/2024 Datalinker includes all of OpenAI’s LLMs such as Chat-GPT 3.5 Turbo, Chat-GPT 4 Turbo, Chat-GPT 4 Pro.

When signing up to DatalinkerAI the user will be given packages to choose from which includes a breakdown and allocation of these tokens. Custom packages will also be able to be configured in the future.

In the near future, DatalinkerAI will also allow custom API’s & LLMs to be used within the package, this will allow LLMs such as Google's Gemini and Meta’s open sourced Llama LLM.

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Last updated 1 year ago