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Tweak readme docs for minor nits (#461)

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Co-authored-by: darkdatter <msylvia@tradestax.io>
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Mat Sylvia 2025-04-13 02:52:20 -04:00 • committed by GitHub
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8
docs/source/concepts/tech_overview/model_serving.rst
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@ -5,7 +5,7 @@ Model Serving
Arch is a set of `two` self-contained processes that are designed to run alongside your application
servers (or on a separate host connected via a network). The first process is designated to manage low-level
networking and HTTP related comcerns, and the other process is for model serving, which helps Arch make
networking and HTTP related concerns, and the other process is for model serving, which helps Arch make
intelligent decisions about the incoming prompts. The model server is designed to call the purpose-built
LLMs in Arch.
@ -16,7 +16,7 @@ LLMs in Arch.
Arch' is designed to be deployed in your cloud VPC, on a on-premises host, and can work on devices that don't
have a GPU. Note, GPU devices are need for fast and cost-efficient use, so that Arch (model server, specifically)
can process prompts quickly and forward control back to the applicaton host. There are three modes in which Arch
can process prompts quickly and forward control back to the application host. There are three modes in which Arch
can be configured to run its **model server** subsystem:
Local Serving (CPU - Moderate)
@ -32,7 +32,7 @@ might not be available.
Cloud Serving (GPU - Blazing Fast)
----------------------------------
The command below instructs Arch to intelligently use GPUs locally for fast intent detection, but default to
cloud serving for function calling and guardails scenarios to dramatically improve the speed and overall performance
cloud serving for function calling and guardrails scenarios to dramatically improve the speed and overall performance
of your applications.
.. code-block:: console
@ -40,6 +40,6 @@ of your applications.
$ archgw up
.. Note::
Arch's model serving in the cloud is priced at $0.05M/token (156x cheaper than GPT-4o) with averlage latency
Arch's model serving in the cloud is priced at $0.05M/token (156x cheaper than GPT-4o) with average latency
of 200ms (10x faster than GPT-4o). Please refer to our :ref:`Get Started <quickstart>` to know
how to generate API keys for model serving