TitanML Documentation
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  • 💡Overview
    • Guide to TitanML...
    • Need help?
  • 🦮Guides
  • Getting started
    • Installing iris
    • Sign up & sign in
    • Iris commands
      • Using iris upload
      • iris API
  • 🛫Titan Takeoff 🛫: Inference Server
    • When should I use the Takeoff Server?
    • Getting started
    • Supported models
    • Using the Takeoff API (Client-side)
    • Chat and Playground UI
    • Shutting down
    • Using a local model
    • Generation Parameters
  • 🎓Titan Train 🎓: Finetuning Service
    • Quickstart
    • Supported models & Tasks
    • Using iris finetune
      • Benchmark experiments for finetuning
      • A closer look at iris finetune arguments
      • Evaluating the model performance
    • Deploying and Inferencing the model
    • When should I use Titan Train?
  • ✨Titan Optimise ✨: Knowledge Distillation
    • When should I use Titan Optimise?
    • How to get the most out of Titan Optimise
    • Supported models & Tasks
    • Using iris distil
      • Benchmark experiments for knowledge distillation
      • A closer look at iris distil arguments
      • Monitoring progress
    • Evaluating and selecting a model
    • Deploying the optimal model
      • Which hardware should I deploy to?
      • Pulling the model
      • Inferencing the model
  • 🤓Other bits!! 🤓
    • Iris roadmap
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  • Takeoff
  • Train / Optimise / Front-end
  1. Other bits!! 🤓

Iris roadmap

PreviousInferencing the model

Last updated 1 year ago

These docs are outdated! Please check out for the latest information on the TitanML platform. If there's anything that's not covered there, please contact us on our .

We are always working on ways to improve the Iris platform. Here is a rough list of things that we are working on completing in the near future. This list is neither in chronological nor importance order.

If there is something you think we should be focused on send us a message by email at hello@titanml.co or join the .

Takeoff

Train / Optimise / Front-end

🤓
https://docs.titanml.co
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