Using Large Language Models for Hyperparameter Optimization, Zhang et al. 2023 [GPT-4 is quite good at finding the optimal hyperparameters for machine learning tasks]

This page summarizes the projects mentioned and recommended in the original post on /r/mlscaling

WorkOS - The modern identity platform for B2B SaaS
The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
workos.com
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InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
  • llm_optimize

    LLM Optimize is a proof-of-concept library for doing LLM (large language model) guided blackbox optimization.

  • Wrote this library as a way of doing this pretty plug and play: https://github.com/sshh12/llm_optimize

  • Ax

    Adaptive Experimentation Platform

  • Why not use a Bayesian optimization framework like Ax instead? https://ax.dev/

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

    WorkOS logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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