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AI/ML Language Model Prototyping
A comprehensive exploration of language model architectures, from RNN-based text generators to transformer models, culminating in a custom LLaMA-like implementation.
PyTorch /NLP /Transformers /RNN /LLaMA /Ollama /Deep Learning
Project Overview
This project represents a deep dive into the world of language models, starting from basic RNN architectures and progressing to state-of-the-art transformer models. The goal is to understand the fundamental principles behind modern language models and implement them from scratch.
Objectives
- Understand the evolution of language model architectures
- Implement RNN-based text generation from scratch
- Build a MiniGPT model optimized for modest hardware
- Develop a scalable LLaMA-like transformer model
- Integrate with Ollama for local deployment
Project Details
Status
In ProgressDuration
April 2025 - Present
Category
AI/ML
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