[Day 7] Does Giving an AI More 'Thinking Time' Really Make It Smarter? Training an OpenMythos-Style Mini Model on DGX
![[Day 7] Does Giving an AI More 'Thinking Time' Really Make It Smarter? Training an OpenMythos-Style Mini Model on DGX](/img-proxy?url=https%3A%2F%2Fmedia2.dev.to%2Fdynamic%2Fimage%2Fwidth%3D1200%2Cheight%3D627%2Cfit%3Dcover%2Cgravity%3Dauto%2Cformat%3Dauto%2Fhttps%253A%252F%252Fraw.githubusercontent.com%252FSAETAG%252Fdgx-100-experiments-images%252Fmain%252Fday07-openmythos-loop-debate%252Faccuracy_heatmap.png&w=1024)
The article explores whether giving an AI more 'thinking time' enhances its intelligence by training an OpenMythos-style mini model. It discusses the architecture of OpenMythos, a theoretical reconstruction inspired by the Claude Mythos model, and examines various studies on looped transformers. The author aims to contribute a new perspective on how these models behave in controlled tasks like multi-digit addition.
- ▪OpenMythos is a PyTorch reconstruction of the Claude Mythos architecture, not affiliated with Anthropic.
- ▪The article investigates the effectiveness of recurrent depth in transformer models through a series of experiments.
- ▪Different studies present varying results on the performance of looped transformers, indicating that their effectiveness may depend on the specific task.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3910738) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } PEPPERCORN Posted on May 19 [Day 7] Does Giving an AI More 'Thinking Time' Really Make It Smarter? Training an OpenMythos-Style Mini Model on DGX #localllm #ai #dgxspark #transformers 100 Experiments with DGX (7 Part Series) 1 [Day 1] DGX Spark Came Home — I Made It Draw a Cat 2 [Day 2] I Trained an AI on 22 Photos of My Cat — Now It Draws Her in Any Scene ... 3 more parts...
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
Discussion
0 commentsMore from DEV.to (Top)
