Ax
llm_optimize
Ax | llm_optimize | |
---|---|---|
3 | 3 | |
2,277 | 43 | |
1.3% | - | |
9.8 | 5.8 | |
6 days ago | about 1 year ago | |
Python | Python | |
MIT License | MIT License |
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Ax
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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]
Why not use a Bayesian optimization framework like Ax instead? https://ax.dev/
- BoTorch – Bayesian Optimization in PyTorch
- Did recent AI events change your life plans?
llm_optimize
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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]
Wrote this library as a way of doing this pretty plug and play: https://github.com/sshh12/llm_optimize
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Large Language Models as Optimizers
For anyone interested I've been working a very similar idea of LLMs for blackbox optimization: https://github.com/sshh12/llm_optimize
- Show HN: LLM Optimize, blackbox string optimization and AutoML with GPT-4
What are some alternatives?
botorch - Bayesian optimization in PyTorch
evalml - EvalML is an AutoML library written in python.
optimas - Optimization at scale, powered by libEnsemble
LightAutoML - LAMA - automatic model creation framework
circuit_training
Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
vortex-auv - Software for guidance, navigation and control for the Vortex AUVs. Purpose built for competing in AUV/ROV competitions.
dify - Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.