# Guide to TitanML...

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These docs are outdated! Please check out <https://docs.titanml.co> for the latest information on the TitanML platform.\
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If there's anything that's not covered there, please contact us on our [discord](https://discord.com/invite/83RmHTjZgf).
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{% tab title="Titan Takeoff 🛫" %}
[titan-takeoff-inference-server](https://titanml.gitbook.io/iris-documentation/titan-takeoff-inference-server "mention")

**What does it do?**&#x20;

* [Super fast optimised inference, even on local hardware like CPUs](https://youtu.be/LvrEO_lNjcA)
* Quickly experiment with inferencing different LLMs
* [Create local versions of ChatGPT & The Playground](https://titanml.gitbook.io/iris-documentation/titan-takeoff-inference-server/chat-and-playground-ui)
* Create inference servers that are local and private (think HF Inference Servers but local)
* [All for Generative models](https://titanml.gitbook.io/iris-documentation/titan-takeoff-inference-server/supported-models)

**Supported models:** Most OS Generative model architectures
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{% tab title="Titan Train 🎓" %}
[titan-train-finetuning-service](https://titanml.gitbook.io/iris-documentation/titan-train-finetuning-service "mention")

**What does it do?**&#x20;

* Fine-tuning of language models
* Using QLoRA for super efficient training
* Super simple, only a few lines of code
* Don't worry about infrastructure - all hosted by TitanML

**Supported models:** Both generative and non-generative language models
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{% tab title="Titan Optimise ✨" %}
[titan-optimise-knowledge-distillation](https://titanml.gitbook.io/iris-documentation/titan-optimise-knowledge-distillation "mention")

**What does it do?**&#x20;

* Compression of Natural Language Understanding tasks
* Helps when latency, memory, or cost is a severe bottleneck
* Uses the latest compression techniques like pruning & knowledge distillation for non-generative tasks

**Supported models:** [Non-generative models](https://titanml.gitbook.io/iris-documentation/titan-optimise-knowledge-distillation/supported-models-and-tasks)
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