Gollemer Project Overview: Features and Recent Updates

zach endrulat · Beginner ·📄 Research Papers Explained ·3mo ago

About this lesson

Explore the Gollemer Project on GitHub: https://github.com/golangast/gollemer Welcome to the latest update on Gollemer! In this video, we dive deep into the high-performance features of this Go-native Mixture of Experts (MoE) engine, including SIMD optimizations and our custom BPE tokenizer. Whether you're here for the neural network architecture or just getting started with terminal basics, you can find the relevant sections below: Video Timestamps: 0:01 - Introduction to the glimmer project 2:00 - Creating files and folders in CLI 4:34 - Updates on training and data saving 6:57 - Explanation of training process and accuracy 7:30 - Discussion on training improvements 9:20 - Updates on training process and utilities 10:35 - Focus on making the model smarter 12:14 - Future plans for training enhancements If you find this project useful, please consider Starring the repository on GitHub—it really helps with visibility! Questions about the SIMD implementation or the MoE routing? Drop a comment below! 👇 #Golang #MachineLearning #OpenSource #NLP #Gollemer git - https://github.com/golangast/gollemer

Original Description

Explore the Gollemer Project on GitHub: https://github.com/golangast/gollemer Welcome to the latest update on Gollemer! In this video, we dive deep into the high-performance features of this Go-native Mixture of Experts (MoE) engine, including SIMD optimizations and our custom BPE tokenizer. Whether you're here for the neural network architecture or just getting started with terminal basics, you can find the relevant sections below: Video Timestamps: 0:01 - Introduction to the glimmer project 2:00 - Creating files and folders in CLI 4:34 - Updates on training and data saving 6:57 - Explanation of training process and accuracy 7:30 - Discussion on training improvements 9:20 - Updates on training process and utilities 10:35 - Focus on making the model smarter 12:14 - Future plans for training enhancements If you find this project useful, please consider Starring the repository on GitHub—it really helps with visibility! Questions about the SIMD implementation or the MoE routing? Drop a comment below! 👇 #Golang #MachineLearning #OpenSource #NLP #Gollemer git - https://github.com/golangast/gollemer

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Chapters (8)

0:01 Introduction to the glimmer project

2:00 Creating files and folders in CLI

4:34 Updates on training and data saving

6:57 Explanation of training process and accuracy

7:30 Discussion on training improvements

9:20 Updates on training process and utilities

10:35 Focus on making the model smarter

12:14 Future plans for training enhancements

Welcome to the Next Temperamental Era