A hands-on book titled 'World Models from Scratch: Building Modern World Models from First Principles' is available via GitBook, with its accompanying code repository on GitHub. It targets builders who want to train, evaluate, customize, and deploy world models.
A free, open-source book that teaches Large Language Models from the ground up, bridging high-level tutorials and academic papers. It provides practical code examples and core concepts for developers who want to understand LLMs beyond surface-level 'vibecoding'.
A free, open-source book that teaches Large Language Models from the ground up, bridging high-level tutorials and academic papers. It provides practical code examples and core concepts for developers who want to understand LLMs beyond surface-level 'vibecoding'.
A developer released a free, open-source book on Large Language Models that bridges high-level tutorials and academic papers. The book focuses on practical code and concepts, and is available on GitHub for feedback.
A developer released a free, open-source book on Large Language Models that bridges high-level tutorials and academic papers. The book focuses on practical code and concepts, and is available on GitHub for feedback.
OpenLanguageModel (OLM) is an open-source PyTorch library designed for building and pretraining small language models with transparent, readable code. The library uses modular components like Block, Residual, Repeat, and Parallel to make model architectures explicit, and supports moving from teaching notebooks to full pretraining runs. It integrates tokenizers, datasets, optimization, mixed precision, and hardware-aware execution for CPU, single-GPU, and multi-GPU setups.
OpenLanguageModel (OLM) is an open-source PyTorch library designed for building and pretraining small language models with transparent, readable code. The library uses modular components like Block, Residual, Repeat, and Parallel to make model architectures explicit, and supports moving from teaching notebooks to full pretraining runs. It integrates tokenizers, datasets, optimization, mixed precision, and hardware-aware execution for CPU, single-GPU, and multi-GPU setups.
A website that teaches how to build and train a small GPT-style LLM from scratch, based on the author's personal experience of training a model on an NVIDIA 4060. It aims to help developers understand LLM internals rather than just using existing tools.
A website that teaches how to build and train a small GPT-style LLM from scratch, based on the author's personal experience of training a model on an NVIDIA 4060. It aims to help developers understand LLM internals rather than just using existing tools.
A practical, MIT-licensed handbook covering the Ollama ecosystem, from installation and model selection to building RAG pipelines and AI agents. It provides copy-paste ready commands and is aimed at users wanting to master local LLM workflows.
A practical, MIT-licensed handbook covering the Ollama ecosystem, from installation and model selection to building RAG pipelines and AI agents. It provides copy-paste ready commands and is aimed at users wanting to master local LLM workflows.