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  • Getting Started
    • Quickstart
    • Introduction
    • Transcribe API
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      • Video Transcription
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      • Advanced Use Cases
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    • Introduction
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  • What is Deeptrain?
  • Multi-modal Capabilities
  • Text
  • Images
  • Flowchart, graphs
  • Audio
  • Videos
  • Multi-dimensional Capabilities
  1. Getting Started

Introduction

Deeptrain

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Last updated 9 months ago

What is Deeptrain?

Deeptrain is a multi-modal data connector for LLMs and AI agents. We help you source and integrate data that is not directly available and understandable by transformer models and AI.

Multi-modal Capabilities

Deeptrain helps you build truly mulimodal applications where your AI agents can learn and interact with content that is beyond the processing capabilities of currently existing LLMs.

Text

Train and customise your AI agents beyond the pre-existing context window size using localized embedding database which retrieves content in real-time from live data sources to back your AI's answers.

Images

Easily turn any non-vision supported model into a computer-vision integrated LLM using Deeptrain.

Flowchart, graphs

Help AI understand flowcharts, graphs, diagrams and more using Deeptrain integration with your AI agents and models.

Audio

Proces any audio content and use it for training and processing for your AI agents.

Videos

Multi-dimensional Capabilities

Deeptrain is not limited to one particular language model. In fact, you ca equip 200+ private or open-source models with Deeptrain's tech & services.

Deeptrain will soon be able to process custom models too.

NEW : Deeptrain now supports multi-dimensional video processing. You can now use an video, hosted locally, self-hosted, or on supporting platform like Vimeo or YouTube to process them and use it as your AI's agent knowledge. You can take videos from your users as input filed using

Deeptrain's Transcribe API.
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