Python client for the LightOn Muse API

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Third-party APIs Wrapperslightonmuse
Overview

lightonmuse

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Python bindings to production-ready intelligence primitives powered by state-of-the-art language models.

Create. Process. Understand. Learn.

Learn more about our Muses.

Installation and documentation

To install:

git clone https://github.com/lightonai/lightonmuse.git
cd lightonmuse
pip install ./

Guides and documentation can be found at the API docs website.

Access to LightOn MUSE

To request access to LightOn MUSE and try our intelligence primitives, get in touch: [email protected]

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Comments
  • Small modifications for Calibration

    Small modifications for Calibration

    This includes:

    • Changing the default params of the function
    • Using batched Select for the calculation of the content-free probabilities within the function
    • Changing the format of the Calibrated output so that the "best" field is best after calibration. Note: I left the 'best' that is in the 'calibrated' dict alone, so that older demos that used out[0]['calibrated']['best'] would still work, but so now: out[0]['best'] == out[0]['calibrated']['best'].
    opened by AmelieChatelain 0
Releases(v0.5.0)
Owner
LightOn
At LightOn, we unlock Extreme-Scale Machine Intelligence. Most repos are focused on the use of photonic hardware. LightOnMuse connects to foundation models
LightOn
GitHub Repository
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