LLMs-from-scratch

LLMs-from-scratch (https://amzn.to/4fqvn0D) is a tool that enables users to build their own large language models (LLMs) from scratch, without relying on pre-trained models. It uses a combination of natural language processing (NLP) techniques, including transformer architectures, to train custom LLMs on specific datasets. This tool is particularly useful for researchers and developers who want to explore the inner workings of LLMs and fine-tune models for specific tasks. For example, a company might use this tool to train a custom LLM for customer support chatbots that can understand and respond to specific industry jargon.

LLMs-from-scratch is best for researchers, data scientists, and developers interested in nlp and llms. It sits in the Coding category and is a freemium option.

LLMs-from-scratch is listed as freemium. Check the official website for current, detailed pricing tiers.

LLMs-from-scratch scored 6.0 out of 10 in 2026, based on six weighted metrics: usefulness, quality, ease of use, value, reliability, and popularity.

LLMs-from-scratch is a capable Coding tool best suited to researchers, data scientists, and developers interested in nlp and llms. At 6.0/10 it covers the essentials, though stronger alternatives exist in this category.