a LLM cookbook, for building your own from scratch, all the way from gathering data to training a model
-
Updated
Jun 25, 2024 - Jupyter Notebook
a LLM cookbook, for building your own from scratch, all the way from gathering data to training a model
Experimental project for AI and NLP based on Transformer Architecture
This repository features a custom-built decoder-only language model (LLM) with a total of 37 million parameters 🔥. I train the model to be able to ask question from a given context
Implementation of the GPT-3 paper: Language Models are Few-Shot Learners
从零实现基础的Transformer的Decoerder-Only模型,并进行模型升级,构建专属于自己的LLM模型
This repo represents my Nano-GPT speedrun playground, which started coding along Let's reproduce GPT-2 (124M), then moved into further improvements.
Generate caption on images using CNN Encoder- LSTM Decoder structure
Transformers Intuition
An explainable and simplified version of OLMo model
Generative AI fine-tune and inference for sequence classification tasks
This project aims to simplify texts from research papers using advanced natural language processing (NLP) techniques, making them more accessible to a broader audience
Code and dataset used to train dialect adapters for decoder models.
This project focuses on the implementation of inverting I-JEAP, a new architecture designed to simulate human intelligence through self-supervised learning. Our goal is to invert the embeddings to demonstrate that such architectures can be vulnerable to inversion attacks
a dna sequence generation/classification using transformers
An LLM based tool for generation of cheese advirtisements
On the Design and Performance of Machine Learning Based Error Correcting Decoders
Clavier is a language model that generates sheet music and MIDI files in the style of classical composers
Text Generation using RNN, LSTM, and Transformer
Coding A Decoder Only Transformer Like ChatGPT From Scratch
Custom decoder Transformer that treats a patient's medical journey like a story told through diagnosis codes instead of words.
Add a description, image, and links to the decoder-model topic page so that developers can more easily learn about it.
To associate your repository with the decoder-model topic, visit your repo's landing page and select "manage topics."