A hands-on guide to understanding and implementing the Qwen3 large language model architecture from scratch using pure PyTorch.
A hands-on tutorial implementing the Qwen3 large language model architecture from scratch using pure PyTorch, explaining its core components.
Analysis of OpenAI's new gpt-oss models, comparing architectural improvements from GPT-2 and examining optimizations like MXFP4 and Mixture-of-Experts.
A technical comparison of architectural changes in major Large Language Models (LLMs) from 2024-2025, focusing on structural innovations beyond benchmarks.
A detailed comparison of architectural developments in major large language models (LLMs) released in 2024-2025, focusing on structural changes beyond benchmarks.
A curated list of 12 influential LLM research papers from each month of 2024, covering topics like Mixture of Experts, LoRA, and scaling laws.
A curated list of 12 influential LLM research papers from 2024, highlighting key advancements in AI and machine learning.
A review and comparison of the latest open LLMs (Mixtral, Llama 3, Phi-3, OpenELM) and a study on DPO vs. PPO for LLM alignment.
A technical guide on running the Mistral 8x7B Mixture of Experts AI model locally on a MacBook, including setup steps and performance notes.
A technical guide on deploying the Mixtral 8x7B open-source LLM from Mistral AI to Amazon SageMaker using the Hugging Face LLM DLC.
Explores an unsupervised approach combining Mixture of Experts (MoE) with Variational Autoencoders (VAE) for conditional data generation without labels.
