<!-- mobian-agent-page publisher="dailydev" canonical="https://daily.dev/posts/google-ai-proposes-perl-a-parameter-efficient-reinforcement-learning-technique-that-can-train-a-rew-frsirw4h0" -->

---
title: Google AI Proposes PERL: A Parameter Efficient...
description: Google introduces a revolutionary methodology called Parameter-Efficient Reinforcement Learning (PERL) that uses the LoRA technique to refine models more...
canonical: https://daily.dev/posts/google-ai-proposes-perl-a-parameter-efficient-reinforcement-learning-technique-that-can-train-a-rew-frsirw4h0
twitter:card: summary_large_image
twitter:site: @dailydotdev
og:type: website
og:site_name: daily.dev
og:title: Google AI Proposes PERL: A Parameter Efficient Reinforcement Learning Technique that can Train a Reward Model and RL Tune a Language Model Policy with LoRA | daily.dev
og:description: Google introduces a revolutionary methodology called Parameter-Efficient Reinforcement Learning (PERL) that uses the LoRA technique to refine models more...
og:url: https://daily.dev/posts/google-ai-proposes-perl-a-parameter-efficient-reinforcement-learning-technique-that-can-train-a-rew-frsirw4h0
og:image: https://api.daily.dev/og/posts/frSirW4H0.png
og:image:alt: Google AI Proposes PERL: A Parameter Efficient Reinforcement Learning Technique that can Train a Reward Model and RL Tune a Language Model Policy with LoRA
og:image:width: 1200
og:image:height: 630
og:locale: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Google AI Proposes PERL: A Parameter Efficient Reinforcement Learning Technique that can Train a Reward Model and RL Tune a Language Model Policy with LoRA

**[Machine Learning News](https://daily.dev/sources/mlnews)** · 4 min read · 0 upvotes · 0 comments

## Summary

Google introduces a revolutionary methodology called Parameter-Efficient Reinforcement Learning (PERL) that uses the LoRA technique to refine models more efficiently, reducing computational and memory requirements. PERL achieves similar outcomes as traditional RLHF methods but with significantly improved parameter efficiency.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.marktechpost.com/2024/03/22/google-ai-proposes-perl-a-parameter-efficient-reinforcement-learning-technique-that-can-train-a-reward-model-and-rl-tune-a-language-model-policy-with-lora/>

## Similar posts on daily.dev

- [Don’t just attend KubeCon \+ CloudNativeCon, Merge Forward your experience\!](https://daily.dev/posts/don-t-just-attend-kubecon-cloudnativecon-merge-forward-your-experience--l0rpp73x8) · CNCF · 1 upvotes · 0 comments
- [Announcing H2 2026 KCDs](https://daily.dev/posts/announcing-h2-2026-kcds-m96goajm1) · CNCF · 1 upvotes · 0 comments
- [Two months of Open Community Groups](https://daily.dev/posts/two-months-of-open-community-groups-asf52zhbs) · CNCF · 0 upvotes · 0 comments
- [CNCF Unveils Schedule for KubeCon \+ CloudNativeCon Europe 2026](https://daily.dev/posts/cncf-unveils-schedule-for-kubecon-cloudnativecon-europe-2026-ikhcoa5cb) · CNCF · 2 upvotes · 0 comments
- [CNCF Debuts KubeCon \+ CloudNativeCon Japan 2026 Schedule](https://daily.dev/posts/cncf-debuts-kubecon-cloudnativecon-japan-2026-schedule-xp5pyudub) · CNCF · 1 upvotes · 0 comments

---

Tags: [#llm](https://daily.dev/tags/llm), [#lora](https://daily.dev/tags/lora), [#reinforcement-learning](https://daily.dev/tags/reinforcement-learning)

[View this post on daily.dev](https://daily.dev/posts/google-ai-proposes-perl-a-parameter-efficient-reinforcement-learning-technique-that-can-train-a-rew-frsirw4h0)

```json
{"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]}
{"@context":"https://schema.org","@type":"TechArticle","headline":"Google AI Proposes PERL: A Parameter Efficient Reinforcement Learning Technique that can Train a Reward Model and RL Tune a Language Model Policy with LoRA","url":"https://daily.dev/posts/google-ai-proposes-perl-a-parameter-efficient-reinforcement-learning-technique-that-can-train-a-rew-frsirw4h0","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/google-ai-proposes-perl-a-parameter-efficient-reinforcement-learning-technique-that-can-train-a-rew-frsirw4h0"},"datePublished":"2024-03-22T08:02:52.266Z","dateModified":"2026-03-30T02:20:12.311Z","description":"Google introduces a revolutionary methodology called Parameter-Efficient Reinforcement Learning (PERL) that uses the LoRA technique to refine models more...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/69d703b0d996c0658d64754b9ef19a57?_a=AQAEufR","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/69d703b0d996c0658d64754b9ef19a57?_a=AQAEufR","isAccessibleForFree":true,"articleSection":"Machine Learning News","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Machine Learning News","logo":"https://media.daily.dev/image/upload/s--0PoEtdkd--/f_auto/v1750409401/squads/marktechpost?_a=BAMClqZW0","url":"https://daily.dev/squads/mlnews"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/google-ai-proposes-perl-a-parameter-efficient-reinforcement-learning-technique-that-can-train-a-rew-frsirw4h0","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"llm,lora,reinforcement-learning","timeRequired":"PT4M"}
{"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Machine Learning News","item":"https://daily.dev/squads/mlnews"},{"@type":"ListItem","position":3,"name":"Google AI Proposes PERL: A Parameter Efficient Reinforcement Learning Technique that can Train a Reward Model and RL Tune a Language Model Policy with LoRA"}]}
```

