eric/ericxliu-me
3
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

📚 Auto-publish: Add/update 2 blog posts
All checks were successful
Hugo Publish CI / build-and-deploy (push) Successful in 45s
Details

Browse Source 
Generated on: Sat Aug 16 21:07:37 UTC 2025
Source: md-personal repository
This commit is contained in:
Automated Publisher
2025-08-16 21:07:37 +00:00
parent a7f1af6c7f
commit bcab4969f4
2 changed files with 2 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
content/posts/a-comprehensive-guide-to-breville-barista-pro-maintenance.md
View File

@@ -1,6 +1,6 @@
---
title: "A Comprehensive Guide to Breville Barista Pro Maintenance"
date: 2025-08-16T20:48:28
date: 2025-08-16T21:07:33
draft: false
---

2
content/posts/a-deep-dive-into-ppo-for-language-models.md
View File

@@ -9,7 +9,7 @@ Large Language Models (LLMs) have demonstrated astonishing capabilities, but out
You may have seen diagrams like the one below, which outlines the RLHF training process. It can look intimidating, with a web of interconnected models, losses, and data flows.
![](/images/a-deep-dive-into-ppo-for-language-models/64bfdb4b-678e-4bfc-8b62-0c05c243f6a9.png)
![[Pasted image 20250816140700.png]]
This post will decode that diagram, piece by piece. We'll explore the "why" behind each component, moving from high-level concepts to the deep technical reasoning that makes this process work.