Media Summary: Scikit-learn allows you to perform hyperparameter search but a lot of it happens in memory. Sometimes you want to have a ... This talk introduces Meta-ACE, a learned meta- In this talk, Yu-kai Chou, creator of the Octalysis

Aioli A Unified Optimization Framework - Detailed Analysis & Overview

Scikit-learn allows you to perform hyperparameter search but a lot of it happens in memory. Sometimes you want to have a ... This talk introduces Meta-ACE, a learned meta- In this talk, Yu-kai Chou, creator of the Octalysis Abstract // Every engineer building AI agents has experienced it: you tweak a prompt, swap out a model, or adjust a RAG ...

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Aioli: A unified optimization framework for language model data mixing
[QA] Aioli: A unified optimization framework for language model data mixing
Optuna: a hyperparameter optimization framework
The Unbearable Lightness of Agent Optimization — Alberto Romero, Jointly
Applying the Octalysis Framework — Yu-kai Chou [App Growth Annual 2024]
How to Optimize AI Agents in Production
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Aioli: A unified optimization framework for language model data mixing

Aioli: A unified optimization framework for language model data mixing

This paper introduces

[QA] Aioli: A unified optimization framework for language model data mixing

[QA] Aioli: A unified optimization framework for language model data mixing

This paper introduces

Optuna: a hyperparameter optimization framework

Optuna: a hyperparameter optimization framework

Scikit-learn allows you to perform hyperparameter search but a lot of it happens in memory. Sometimes you want to have a ...

The Unbearable Lightness of Agent Optimization — Alberto Romero, Jointly

The Unbearable Lightness of Agent Optimization — Alberto Romero, Jointly

This talk introduces Meta-ACE, a learned meta-

Applying the Octalysis Framework — Yu-kai Chou [App Growth Annual 2024]

Applying the Octalysis Framework — Yu-kai Chou [App Growth Annual 2024]

In this talk, Yu-kai Chou, creator of the Octalysis

How to Optimize AI Agents in Production

How to Optimize AI Agents in Production

Abstract // Every engineer building AI agents has experienced it: you tweak a prompt, swap out a model, or adjust a RAG ...