LLMs-from-scratch alternatives

'ai-engineering-from-scratch' and 'LLMs-from-scratch' both aim at teaching how to build AI models from scratch, though they have a focus on different sets of tools or methods.

awesome-llm-apps

'LLMs-from-scratch' and 'Hands-On-Large-Language-Models' both serve as educational resources for understanding and building large language models, though each provides their own unique approach and documentation, likely with different pedagogical focuses.

Both repositories focus on the implementation and understanding of large language models from scratch. While 'LLMs-from-scratch' is in English and uses PyTorch, 'happy-llm' might be more localized for Chinese users.

Both repositories provide educational content for learning about large language models, but they offer different paths and resources. 'LLMs-from-scratch' focuses on implementing a model from scratch in PyTorch, while 'llm-course' provides a more general course with Colab notebooks.

picoGPT has an "alternative" relationship to LLMs-from-scratch as both projects offer simplified implementations of GPT-like models for educational purposes. However, picoGPT is significantly smaller, using NumPy and focusing on simplicity and understanding over performance, whereas LLMs-from-scratch uses PyTorch and provides a more comprehensive guide to building a full-scale LLM, including pre-

Both repositories aim to implement a large language model from scratch in PyTorch, but they likely differ slightly in implementation and specifics.

'LLMs-from-scratch' and 'self-llm' both offer educational resources for building large language models from scratch, albeit likely in different languages or with a tailored focus on Chinese users.

Both repositories aim to implement a large language model from scratch using PyTorch.

🤗 Transformers provides predefined state-of-the-art models, whereas llms-from-scratch focuses on implementing such models from the ground up using PyTorch.

Yi focuses on developing large language models from scratch, similar to the approach taken by LLMs-from-scratch. Both repositories aim at building these models rather than using pre-trained ones.

Repository contains distilled LLM models derived from Qwen and LLaMA series for various commercial uses.

An open platform for training, serving, and evaluating large language models

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs

An Open Source Machine Learning Framework for Everyone

A beginner-friendly AI curriculum with multi-language support.

AI Agent Assistant & development framework that integrates lots of IM platforms, LLMs, plugins and AI feature

A programming framework for agentic AI

AutoGPT is the vision of accessible AI for everyone, to use and to build on.

ChatGPT 中文调教指南

Reduce token usage with concise 'caveman'-style prompts.

An Open Bilingual Dialogue Language Model

Making large AI models cheaper, faster and more accessible

Up-to-date code documentation for LLMs and AI code editors